Finding energetic materials with tailored properties is always a significant challenge due to low research efficiency in trial and error.Herein,a methodology combining domain knowledge,a machine learning algorithm,and...Finding energetic materials with tailored properties is always a significant challenge due to low research efficiency in trial and error.Herein,a methodology combining domain knowledge,a machine learning algorithm,and experiments is presented for accelerating the discovery of novel energetic materials.A high-throughput virtual screening(HTVS)system integrating on-demand molecular generation and machine learning models covering the prediction of molecular properties and crystal packing mode scoring is established.With the proposed HTVS system,candidate molecules with promising properties and a desirable crystal packing mode are rapidly targeted from the generated molecular space containing 25112 molecules.Furthermore,a study of the crystal structure and properties shows that the good comprehensive performances of the target molecule are in agreement with the predicted results,thus verifying the effectiveness of the proposed methodology.This work demonstrates a new research paradigm for discovering novel energetic materials and can be extended to other organic materials without manifest obstacles.展开更多
The discovery of fluorescence materials with an inverted singlet-triplet(IST)energy gap,where the singlet excited state(S_(1))lies below the triplet excited state(T_(1)),mark a transformative advancement in organic li...The discovery of fluorescence materials with an inverted singlet-triplet(IST)energy gap,where the singlet excited state(S_(1))lies below the triplet excited state(T_(1)),mark a transformative advancement in organic light-emitting diodes(OLEDs)technology.However,designing the potential IST emitters are greatly challenging,and their IST energy gap,arising from double electron excitation,can only be accurately described by time-consuming post-Hartree-Fock(HF)methods,which blocks large-scale high-throughput screening speed.Here,we develop a four-orbital model to elucidate detailly the roles of double excitations in the IST formation,and establish two molecular descriptors(K_(S)and O_(D))based on exchange integral and molecular orbital energy.By these descriptors,we rapidly identify 41 IST candidates out of 3,486 molecules.The descriptors-aided approach achieves a screening success rate of 90%and reduces computational costs by 13 times compared to full post-HF calculations.Importantly,wepredicted a series of excellent non-traditional near-infrared IST emitters from a dataset of 1028 compounds with emission wavelengths ranging from 852.2 to 1002.3 nm,which open new avenues for designing highly efficient near-infrared OLED materials.展开更多
The high porosity and tunable chemical functionality of metal-organic frameworks(MOFs)make it a promising catalyst design platform.High-throughput screening of catalytic performance is feasible since the large MOF str...The high porosity and tunable chemical functionality of metal-organic frameworks(MOFs)make it a promising catalyst design platform.High-throughput screening of catalytic performance is feasible since the large MOF structure database is available.In this study,we report a machine learning model for high-throughput screening of MOF catalysts for the CO_(2) cycloaddition reaction.The descriptors for model training were judiciously chosen according to the reaction mechanism,which leads to high accuracy up to 97%for the 75%quantile of the training set as the classification criterion.The feature contribution was further evaluated with SHAP and PDP analysis to provide a certain physical understanding.12,415 hypothetical MOF structures and 100 reported MOFs were evaluated under 100℃ and 1 bar within one day using the model,and 239 potentially efficient catalysts were discovered.Among them,MOF-76(Y)achieved the top performance experimentally among reported MOFs,in good agreement with the prediction.展开更多
Trehalase hydrolyzes trehalose to glucose to provide energy for insects or building blocks for chitin synthesis.Because trehalase is critical to insects but not to humans,it has long been considered a promising target...Trehalase hydrolyzes trehalose to glucose to provide energy for insects or building blocks for chitin synthesis.Because trehalase is critical to insects but not to humans,it has long been considered a promising target for green insecticides.However,the known trehalase inhibitors are mainly sugar derivatives with poor druggability.In this study,the trehalase from Ostrinia furnacalis(OfTreh)was expressed and characterized.By integrative computational strategies,diphenyl ether herbicides were discovered as the first non-carbohydrate inhibitors of insect trehalases.Bifenox and its more stable derivative,chlomethoxyfen,inhibited Of Treh with Ki values of 56 and 43μM,respectively.The oral administration of bifenox or chlomethoxyfen to locusts resulted in the inhibition of trehalose hydrolysis in vivo,leading to a mortality rate of 66%and server locomotion disorder in the survivors.This study not only established a platform for the development of insecticides targeting trehalase but also discovered a new mechanism for diphenyl ethers to kill insects as trehalase inhibitors.展开更多
Lithium-ion batteries(LiBs)with high energy density have gained significant popularity in smart grids and portable electronics.LiMn_(1-x)Fe_(x)PO_(4)(LMFP)is considered a leading candidate for the cathode,with the pot...Lithium-ion batteries(LiBs)with high energy density have gained significant popularity in smart grids and portable electronics.LiMn_(1-x)Fe_(x)PO_(4)(LMFP)is considered a leading candidate for the cathode,with the potential to combine the low cost of Li Fe PO_(4)(LFP)with the high theoretical energy density of LiMnPO_(4)(LMP).However,quantitative investigation of the intricate coupling between the Fe/Mn ratio and the resulting energy density is challenging due to the parametric complexity.It is crucial to develop a universal approach for the rapid construction of multi-parameter mapping.In this work,we propose an active learning-guided high-throughput workflow for quantitatively predicting the Fe/Mn ratio and the energy density mapping of LMFP.An optimal composition(LiMn_(0.66)Fe_(0.34)PO_(4))was effectively screened from 81 cathode materials via only 5 samples.Model-guided electrochemical analysis revealed a nonlinear relationship between the Fe/Mn ratio and electrochemical properties,including ion mobility and impedance,elucidating the quantitative chemical composition-energy density map of LMFP.The results demonstrated the efficacy of the method in high-throughput screening of LiBs cathode materials.展开更多
Additives are widely employed to regulate the morphology,size,and agglomeration degree of crystalline materials during crystallization to enhance their functional,physical,and powder properties.However,the existing me...Additives are widely employed to regulate the morphology,size,and agglomeration degree of crystalline materials during crystallization to enhance their functional,physical,and powder properties.However,the existing methods for screening and validating target additives require a large quantity of materials and involve tedious molecular simulation/crystallization experiments,making them time-consuming,resource-intensive,and reliant on the operator’s experience level.To overcome these challenges,we proposed a computer vision-assisted high-throughput additive screening system(CV-HTPASS)which comprises a high-throughput additive screening device,in situ imaging equipment,and an artificial intelligence(AI)-assisted image-analysis algorithm.Using the CV-HTPASS,we performed high-throughput screening experiments on additives to regulate the succinic acid crystal properties,generating thousands of crystal images with diverse crystal morphologies.To extract valuable crystal information from the massive data and improve the analysis accuracy and efficiency,the AI-based image-analysis algorithm was implemented innovatively for the segmentation,classification,and data mining of crystals with four morphologies to further screen the target additive.Subsequently,scale-up crystallization experiments conducted under optimized conditions demonstrated that succinic acid products exhibited a preferred cubic morphology,reduced agglomeration degree,narrowed crystal size distribution,and improved powder properties.The proposed CV-HTPASS offers a highly efficient approach for scale-up experiments.Further,it provides a platform for the screening of additives and the optimization of the powder properties of crystal products in industrial-scale crystallization processes.展开更多
The capture of CO_(2)from CO_(2)/H_(2)gas mixtures in syngas is a crucial issue for hydrogen production from steam methane reforming in industry,as the presence of CO_(2)directly affects the purity of H_(2).A combinat...The capture of CO_(2)from CO_(2)/H_(2)gas mixtures in syngas is a crucial issue for hydrogen production from steam methane reforming in industry,as the presence of CO_(2)directly affects the purity of H_(2).A combination of a high-throughput screening method and grand canonical Monte Carlo simulation was utilized to evaluate and screen 1725 metal–organic frameworks(MOFs)in detail as a means of determining their adsorption performance for CO_(2)/H_(2)gas mixtures.The adsorption and separation performance of double-linker MOFs was comprehensively evaluated using eight evaluation indicators,namely,the largest cavity diameter,accessible surface area,pore occupied accessible volume,porosity,adsorption selectivity,working capacity,adsorbent performance score and percent regeneration.Six optimal performance frameworks were screened to further study their single-component adsorption and binary competitive adsorption of CO_(2)/H_(2)respectively.The CO_(2)adsorption selectivity at different CO_(2)/H_(2)feed ratios was also evaluated,which indicated their excellent adsorption and separation performance.The microscopic adsorption mechanisms for CO_(2)and H_(2)at the molecular level were investigated by analyzing the radial distribution function and density distribution.This study may provide directional guidance and reference for subsequent experiments on the adsorption and separation of CO_(2)/H_(2).展开更多
Objective:The biosynthesis of pilose antler polysaccharides(PAPS)with anti-aging activity relies on the precise regulation of key enzymes;however,the identification of these enzymes is limited by traditional low-throu...Objective:The biosynthesis of pilose antler polysaccharides(PAPS)with anti-aging activity relies on the precise regulation of key enzymes;however,the identification of these enzymes is limited by traditional low-throughput techniques.This study constructed an integrated system combining metabolic engineering and high-throughput screening of fluorescent substrates,aiming to overcome the technical bottlenecks in the identification of key enzymes for PAPS synthesis and the optimization of their catalytic efficiency.Methods:Eighteen candidate genes related to carbohydrate metabolism were screened via transcriptome sequencing of deer antler stem cells.After prokaryotic expression and preliminary screening by high-performance liquid chromatography(HPLC),a self-designed fluorescent substrate(FAM-Glc-β1-3-PNPG)combined with a 96-well plate platform was used to achieve high-throughput optimization and screening of catalytic efficiency.Enzyme function was verified through kinetic analysis and in vitro antioxidant experiments.Results:The screened high-efficiency glycosyltransferase UGT-Wnt3a showed a 2.1-fold increase in catalytic efficiency compared with the wild type,with a maximum reaction rate(Vmax)of12.3μmol·min^(-1)·mg^(-1)and a Michaelis constant(Km)of 0.87 mM.The catalytic product of UGT-Wnt3a increased the superoxide dismutase(SOD)activity by 42%(P<0.01)and decreased the malondialdehyde(MDA)content by 28%(P<0.05)in the oxidative damage system.The detection efficiency of the new platform was 9 times higher than that of HPLC,and the limit of detection was reduced by 50 times.Conclusion:The screening system established in this study provides an innovative technical solution for the directed synthesis of PAPS and the development of anti-aging components,promoting the transformation of active components in traditional Chinese medicine from natural extraction to bioengineering-based production.展开更多
For the advancement of fast-charging sodium-ion batteries(SIBs),the synthesis of cutting-edge cathode materials with superior structural stability and enhanced Na+diffusion kinetics is imperative.Multiphase layered tr...For the advancement of fast-charging sodium-ion batteries(SIBs),the synthesis of cutting-edge cathode materials with superior structural stability and enhanced Na+diffusion kinetics is imperative.Multiphase layered transition metal oxides(LTMOs),which leverage the synergistic properties of two distinct monophasic LTMOs,have garnered significant attention;however,their efficacy under fast-charging conditions remains underexplored.In this study,we developed a high-throughput computational screening framework to identify optimal dopants that maximize the electrochemical performance of LTMOs.Specifically,we evaluated the efficacy of 32 dopants based on P2/O3-type Mn/Fe-based Na_(x)Mn_(0.5)Fe_(0.5)O_(2)(NMFO)cathode material.Multiphase LTMOs satisfying criteria for thermodynamic and structural stability,minimized phase transitions,and enhanced Na^(+)diffusion were systematically screened for their suitability in fast-charging applications.The analysis identified two dopants,Ti and Zr,which met all predefined screening criteria.Furthermore,we ranked and scored dopants based on their alignment with these criteria,establishing a comprehensive dopant performance database.These findings provide a robust foundation for experimental exploration and offer detailed guidelines for tailoring dopants to optimize fast-charging SIBs.展开更多
Background Resistance to traditional intense chemotherapy and high invasiveness are characteristics of head and neck squamous cell cancer(HNSCC).Numerous human disorders are linked to N6-methyladenosine(m6A)modificati...Background Resistance to traditional intense chemotherapy and high invasiveness are characteristics of head and neck squamous cell cancer(HNSCC).Numerous human disorders are linked to N6-methyladenosine(m6A)modification of RNA,and the genetic changes in m6A regulatory genes in HNSCC are not well-understood.There is also a pressing need to find efficient targets and inhibitors for the treatment of HNSCC.This investigation examined the RNA m6A alteration in HNSCC and found putative IGFBP3 inhibitors for potential use.Methods We examined m6A regulator gene expression data from the public Gene Expression Omnibus(GEO)database in both normal tissues and patient HNSCC.For bioinformatics analysis,the R package and additional tools,including the m6A2Target database,Gene Ontology(GO)functional and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analyses,Gene Expression Profiling Interactive Analysis(GEPIA),and Human Protein Atlas,were used to examine the molecular mechanisms and prognostic impact for regulators that are distinctly expressed.Furthermore,TCMBank molecules were employed for virtual screening to find possible inhibitors.Results Out of the 151 differentially expressed genes(DEGs)found in the chosen datasets,insulin-like growth factor 2 mRNA-binding protein 3(IGF2BP3)was the m6A regulator that was elevated in HNSCC.The GO and KEGG analyses revealed that the target genes of IGF2BP3 were mostly enriched in several pathways and activities linked to cancer.In patients with HNSCC,IGF2BP3 showed an effective predictive effect by GEPIA analysis.Virtual screening yielded four traditional Chinese medicine ingredients as putative IGF2BP3 inhibitors for additional research.Discussion This work learned the role and prognostic effect of IGF2BP3 in HNSCC;meanwhile,the potential inhibitors of IGF2BP3 were identified for further study.展开更多
As a zinc-dependent enzyme, metal-β-lactamase L1 contributes to the development of β-lactam antibiotic resistance. The metal-β-lactamase inhibitor can restore the efficacy of β-lactam antibiotics, and its developm...As a zinc-dependent enzyme, metal-β-lactamase L1 contributes to the development of β-lactam antibiotic resistance. The metal-β-lactamase inhibitor can restore the efficacy of β-lactam antibiotics, and its development has attracted much attention. In the present study, we used four widely-used virtual screening programs to screen 7035 small molecules to identify potential L1 inhibitors, and a high-throughput experimental model of L1 inhibitors was established. In this high-throughput testing model, the inhibition rate of 163 compounds on L1 exceeded 40%. The results of virtual screening of 7035 small molecules using the following four programs showed that among the top 1.35% of the compounds, their hit rates were ranked as Schr?dinger’s(5.26%), DS(1.05%), and Sybyl-x 2.0(1.05%), and Smina(2.11%).展开更多
As a type II or III transmembrane glycoprotein, human CD38 is ubiquitously expressed in all mammalian tissues. CD38 is a multi-functional enzyme and a member of the ADP-ribosyl cyclase family, and it catalyzes nicotin...As a type II or III transmembrane glycoprotein, human CD38 is ubiquitously expressed in all mammalian tissues. CD38 is a multi-functional enzyme and a member of the ADP-ribosyl cyclase family, and it catalyzes nicotinamide adenine dinucleotide （NAD^＋） and nicotinamide adenine dinucleotide phosphate （NADP＋） to two distinct Ca^2＋ messengers as follows： cyclic ADP-ribose （cADPR） and nicotinic acid adenine dinucleotide phosphate （NAADP）, respectively. Moreover, both cADPR and NAADP mediate mobilization of intracellular Ca^2＋ targeting endoplasmic stores and the lysosomes, respectively. In this study, we combined ligand-based and structure-based virtual screening strategies to compare the inhibitor discovery efficacy based on natural substrates and the known inhibitors. The similarity queries towards SPECS database were carried out using ROCS and EON modules of OpenEye software. The hits were further docked to CD38 using AutoDock 4.05 program. In addition, ADME studies were also processed considering solubility in water and membrane permeability. Finally, we identified 17 compotmds-based on natural substrates and 10 compounds based on known inhibitor models. The results showed that the known inhibitor H2-based model was more efficient in virtual screening of CD38 non-covalent inhibitors.展开更多
Angiotensin I converting enzyme （ACE） plays an important physiological role in the regulation of hypertension. In this study, we applied virtual screening to discover a novel angiotensin I converting enzyme inhibito...Angiotensin I converting enzyme （ACE） plays an important physiological role in the regulation of hypertension. In this study, we applied virtual screening to discover a novel angiotensin I converting enzyme inhibitory peptides from milk casein. One potential hit was identified based on docking scores, subsequently confirmed by activity studies in vitro （IC50=20.85 μmol L-1）. The proposed peptide in this study contains a unique sequence, Lys-Val-Leu-Ile-Leu-Ala. Moreover, we performed the docking studies to understand the binding mode between the enzyme and peptide hit.展开更多
To discover new lead compounds for M1 agonists. Ten typical M1 agonists were superimposed to build a M1 agonists 3D-pharmacophore model using distance-comparisons （DISCO） method without the previous knowledge of the...To discover new lead compounds for M1 agonists. Ten typical M1 agonists were superimposed to build a M1 agonists 3D-pharmacophore model using distance-comparisons （DISCO） method without the previous knowledge of the three-dimensional structure of M1 receptor. Virtual screening strategy was used to analyze the Available Chemicals Directory-Screening Compounds （ACD-SC） to identify possible new hits. Twenty-two compounds which fit the pharmacophore model well and are not similar with known M1 agonists were purchased in order to evaluate their M1 receptor agonist activity. One of them shows M1 receptor agonist activity with EC50 of 4.90 μmol/L and maximum response. Multiple of 10.0 which shows it worthy of further study as a new lead compound for M1 agonists.展开更多
Natural antimicrobial peptides(AMPs)are promising candidates for the development of a new generation of antimicrobials to combat antibiotic-resistant pathogens.They have found extensive applications in the fields of m...Natural antimicrobial peptides(AMPs)are promising candidates for the development of a new generation of antimicrobials to combat antibiotic-resistant pathogens.They have found extensive applications in the fields of medicine,food,and agriculture.However,efficiently screening AMPs from natural sources poses several challenges,including low efficiency and high antibiotic resistance.This review focuses on the action mechanisms of AMPs,both through membrane and non-membrane routes.We thoroughly examine various highly efficient AMP screening methods,including whole-bacterial adsorption binding,cell membrane chromatography(CMC),phospholipid membrane chromatography binding,membranemediated capillary electrophoresis(CE),colorimetric assays,thin layer chromatography(TLC),fluorescence-based screening,genetic sequencing-based analysis,computational mining of AMP databases,and virtual screening methods.Additionally,we discuss potential developmental applications for enhancing the efficiency of AMP discovery.This review provides a comprehensive framework for identifying AMPs within complex natural product systems.展开更多
Screening gene function in vivo is a powerful approach to discover novel drug targets. We present high-throughput screening （HTS） data for 3 762 distinct global gene knockout （KO） mouse lines with viable adult hom...Screening gene function in vivo is a powerful approach to discover novel drug targets. We present high-throughput screening （HTS） data for 3 762 distinct global gene knockout （KO） mouse lines with viable adult homozygous mice generated using either gene-trap or homologous recombination technologies. Bone mass was determined from DEXA scans of male and female mice at 14 weeks of age and by microCT analyses of bones from male mice at 16 weeks of age. Wild-type （WT） cagemates/littermates were examined for each gene KO. Lethality was observed in an additional 850 KO lines. Since primary HTS are susceptible to false positive findings, additional cohorts of mice from KO lines with intriguing HTS bone data were examined. Aging, ovariectomy, histomorphometry and bone strength studies were performed and possible non-skeletal phenotypes were explored. Together, these screens identified multiple genes affecting bone mass： 23 previously reported genes （Calcr, Cebpb, Crtap, Dcstamp, Dkkl, Duoxa2, Enppl, Fgf23, Kissl/Kisslr, Kl （Klotho）, Lrp5, Mstn, Neol, Npr2, Ostml, Postn, Sfrp4, S1c30a5, Sic39a13, Sost, Sumf1, Src, Wnt10b）, five novel genes extensively characterized （Cldn18, Fam20c, Lrrkl, Sgpll, Wnt16）, five novel genes with preliminary characterization （Agpat2, RassfS, Slc10a7, Stc26a7, Slc30a10） and three novel undisclosed genes coding for potential osteoporosis drug targets.展开更多
Ion channels are attractive targets for drug discovery as an increasing number of new ion channel targets have been uncovered in diseases, such as pain, cardiovascular disease, and neurological disorders. Despite thei...Ion channels are attractive targets for drug discovery as an increasing number of new ion channel targets have been uncovered in diseases, such as pain, cardiovascular disease, and neurological disorders. Despite their relevance in diseases and the variety of physiological functions they are involved in, ion channels still remain underexploited as drug targets. This, to a large extent, is attributed to the absence of screening technologies that ensure both the quality and the throughput of data. However, an increasing number of assays and technologies have evolved rapidly in the past decades. In this review, we summarized the currently available high-throughput screening technologies in ion channel drug discovery.展开更多
Objective To develop a high-throughput screening assay for Farnesoid X receptor （FXR） agonists based on mammalian one-hybrid system （a chimera receptor gene system） for the purpose of identifying new lead compound...Objective To develop a high-throughput screening assay for Farnesoid X receptor （FXR） agonists based on mammalian one-hybrid system （a chimera receptor gene system） for the purpose of identifying new lead compounds for dyslipidaemia drug from the chemical library. Methods cDNA encoding the human FXR ligand binding domain （LBD） was amplified by RT-PCR from a human liver total mRNA and fused to the DNA binding domain （DBD） of yeast GAL4 of pBIND to construct a GAL4-FXR （LBD） chimera expression plasmid. Five copies of the GAL4 DNA binding site were synthesized and inserted into upstream of the SV40 promoter of pGL3-promoter vector to construct a reporter plasmid pG5-SV40 Luc. The assay was developed by transient co-transfection with pG5-SV40 Luc reporter plasmid and pBIND-FXR-LBD （189-472） chimera expression plasmid. Results After optimization, CDCA, a FXR natural agonist, could induce expression of the luciferase gene in a dose-dependent manner, and had a signal/noise ratio of 10 and Z＇ factor value of 0.65, Conclusion A stable and sensitive cell-based high-throughput screening model can be used in high-throughput screening for FXR agonists from the synthetic and natural compound library.展开更多
The authors have created a virtual test of vibration particle-screening using Autodesk's 3ds Max software,the MAXScript scripting language and the AGEIA PhysX physics processing unit(PPU).The affect of various par...The authors have created a virtual test of vibration particle-screening using Autodesk's 3ds Max software,the MAXScript scripting language and the AGEIA PhysX physics processing unit(PPU).The affect of various parameters on screening efficiency were modeled.The parameters included vibration amplitude,frequency and direction.The length and inclination of the vibrating surface were also varied.The virtual experiment is in basic agreement with results predicted from screening theory.This shows that the virtual screener can be used for preliminary investigations and the results used to evaluate screen design.In addition it can help with theoretical research.展开更多
Abstract： A simple optimized microplate-based method to assay endo-1,4-β-mannosidase activity was described as an improved high-throughput screening method. A series of experimental conditions were optimized. It is ...Abstract： A simple optimized microplate-based method to assay endo-1,4-β-mannosidase activity was described as an improved high-throughput screening method. A series of experimental conditions were optimized. It is revealed that the optimum measurement procedure is as follows： adding 50μL of diluted enzyme sample and 50 μL substrate, incubating at 45 ℃ for exactly 5 min in micro-plate, mixing with 100 μL 3,5-dinitrosalicylic acid （DNS） reagent, maintaining at boiling point for 15 rain, cooling down to room temperature before determining the ABS value at 540 nm using an ELISA micro-plate reader. The reaction volume of the optimized microplate-assay is reduced to 200μL from 2 500 μL used in the standard β-mannanase macro-assay. The optimized micro-assay is significantly more sensitive in all of the 643 candidates during endo-1,4-β-mannosidase screening. Statistical analyses show that the sensitivity of the optimized micro-method is significantly greater than that of the macro-assay. The optimized method is convenient, fast, and cheap for high throughput enzyme screening.展开更多
基金the Science Challenge Project(TZ2018004)the National Natural Science Foundation of China(21875228 and 21702195)for financial support。
文摘Finding energetic materials with tailored properties is always a significant challenge due to low research efficiency in trial and error.Herein,a methodology combining domain knowledge,a machine learning algorithm,and experiments is presented for accelerating the discovery of novel energetic materials.A high-throughput virtual screening(HTVS)system integrating on-demand molecular generation and machine learning models covering the prediction of molecular properties and crystal packing mode scoring is established.With the proposed HTVS system,candidate molecules with promising properties and a desirable crystal packing mode are rapidly targeted from the generated molecular space containing 25112 molecules.Furthermore,a study of the crystal structure and properties shows that the good comprehensive performances of the target molecule are in agreement with the predicted results,thus verifying the effectiveness of the proposed methodology.This work demonstrates a new research paradigm for discovering novel energetic materials and can be extended to other organic materials without manifest obstacles.
基金support from the National Natural Science Foundation of China(Grant Nos.22325305 and 22273105)the Strategic Priority Research Program of Sciences(XDB0520103)+1 种基金National Key R&D Program of China(2024YFB3614300)the Fundamental Research Funds for the Central Universities(Grant Nos.E2E40307X2 and E2ET0309X2).We gratefully acknowledge WQ&UCAS Research Academy Intelligent Computing Center(WRA-ICC)for providing computation facilities.
文摘The discovery of fluorescence materials with an inverted singlet-triplet(IST)energy gap,where the singlet excited state(S_(1))lies below the triplet excited state(T_(1)),mark a transformative advancement in organic light-emitting diodes(OLEDs)technology.However,designing the potential IST emitters are greatly challenging,and their IST energy gap,arising from double electron excitation,can only be accurately described by time-consuming post-Hartree-Fock(HF)methods,which blocks large-scale high-throughput screening speed.Here,we develop a four-orbital model to elucidate detailly the roles of double excitations in the IST formation,and establish two molecular descriptors(K_(S)and O_(D))based on exchange integral and molecular orbital energy.By these descriptors,we rapidly identify 41 IST candidates out of 3,486 molecules.The descriptors-aided approach achieves a screening success rate of 90%and reduces computational costs by 13 times compared to full post-HF calculations.Importantly,wepredicted a series of excellent non-traditional near-infrared IST emitters from a dataset of 1028 compounds with emission wavelengths ranging from 852.2 to 1002.3 nm,which open new avenues for designing highly efficient near-infrared OLED materials.
基金financial support from the National Key Research and Development Program of China(2021YFB 3501501)the National Natural Science Foundation of China(No.22225803,22038001,22108007 and 22278011)+1 种基金Beijing Natural Science Foundation(No.Z230023)Beijing Science and Technology Commission(No.Z211100004321001).
文摘The high porosity and tunable chemical functionality of metal-organic frameworks(MOFs)make it a promising catalyst design platform.High-throughput screening of catalytic performance is feasible since the large MOF structure database is available.In this study,we report a machine learning model for high-throughput screening of MOF catalysts for the CO_(2) cycloaddition reaction.The descriptors for model training were judiciously chosen according to the reaction mechanism,which leads to high accuracy up to 97%for the 75%quantile of the training set as the classification criterion.The feature contribution was further evaluated with SHAP and PDP analysis to provide a certain physical understanding.12,415 hypothetical MOF structures and 100 reported MOFs were evaluated under 100℃ and 1 bar within one day using the model,and 239 potentially efficient catalysts were discovered.Among them,MOF-76(Y)achieved the top performance experimentally among reported MOFs,in good agreement with the prediction.
基金the staff of the BL18U/BL19U1 Beamline of the National Facility for Protein Science,Shanghai,at the Shanghai Synchrotron Radiation Facility for assistance during data collectionthe National Key Research and Development Program of China(Grant No.2023YFD1700500,2022YFD1700200)the Project of Natural Science Foundation of Liaoning Province(2022-KF-15-02).
文摘Trehalase hydrolyzes trehalose to glucose to provide energy for insects or building blocks for chitin synthesis.Because trehalase is critical to insects but not to humans,it has long been considered a promising target for green insecticides.However,the known trehalase inhibitors are mainly sugar derivatives with poor druggability.In this study,the trehalase from Ostrinia furnacalis(OfTreh)was expressed and characterized.By integrative computational strategies,diphenyl ether herbicides were discovered as the first non-carbohydrate inhibitors of insect trehalases.Bifenox and its more stable derivative,chlomethoxyfen,inhibited Of Treh with Ki values of 56 and 43μM,respectively.The oral administration of bifenox or chlomethoxyfen to locusts resulted in the inhibition of trehalose hydrolysis in vivo,leading to a mortality rate of 66%and server locomotion disorder in the survivors.This study not only established a platform for the development of insecticides targeting trehalase but also discovered a new mechanism for diphenyl ethers to kill insects as trehalase inhibitors.
基金supported by the National Key Research and Development Program of China(No.2021YFB3702102)support from the“Initiation Program for New Teachers”(No.AF0500207)+1 种基金Shanghai Jiao Tong Universitysupport from the Changsha Science and Technology Plan International and Regional Cooperation Project(No.kh2304002)。
文摘Lithium-ion batteries(LiBs)with high energy density have gained significant popularity in smart grids and portable electronics.LiMn_(1-x)Fe_(x)PO_(4)(LMFP)is considered a leading candidate for the cathode,with the potential to combine the low cost of Li Fe PO_(4)(LFP)with the high theoretical energy density of LiMnPO_(4)(LMP).However,quantitative investigation of the intricate coupling between the Fe/Mn ratio and the resulting energy density is challenging due to the parametric complexity.It is crucial to develop a universal approach for the rapid construction of multi-parameter mapping.In this work,we propose an active learning-guided high-throughput workflow for quantitatively predicting the Fe/Mn ratio and the energy density mapping of LMFP.An optimal composition(LiMn_(0.66)Fe_(0.34)PO_(4))was effectively screened from 81 cathode materials via only 5 samples.Model-guided electrochemical analysis revealed a nonlinear relationship between the Fe/Mn ratio and electrochemical properties,including ion mobility and impedance,elucidating the quantitative chemical composition-energy density map of LMFP.The results demonstrated the efficacy of the method in high-throughput screening of LiBs cathode materials.
基金supported by the Shandong Provincial Key Research and Development Program(Major Key Technology Project)(2021CXGC010514)the National Natural Science Foundation of China(22008173).
文摘Additives are widely employed to regulate the morphology,size,and agglomeration degree of crystalline materials during crystallization to enhance their functional,physical,and powder properties.However,the existing methods for screening and validating target additives require a large quantity of materials and involve tedious molecular simulation/crystallization experiments,making them time-consuming,resource-intensive,and reliant on the operator’s experience level.To overcome these challenges,we proposed a computer vision-assisted high-throughput additive screening system(CV-HTPASS)which comprises a high-throughput additive screening device,in situ imaging equipment,and an artificial intelligence(AI)-assisted image-analysis algorithm.Using the CV-HTPASS,we performed high-throughput screening experiments on additives to regulate the succinic acid crystal properties,generating thousands of crystal images with diverse crystal morphologies.To extract valuable crystal information from the massive data and improve the analysis accuracy and efficiency,the AI-based image-analysis algorithm was implemented innovatively for the segmentation,classification,and data mining of crystals with four morphologies to further screen the target additive.Subsequently,scale-up crystallization experiments conducted under optimized conditions demonstrated that succinic acid products exhibited a preferred cubic morphology,reduced agglomeration degree,narrowed crystal size distribution,and improved powder properties.The proposed CV-HTPASS offers a highly efficient approach for scale-up experiments.Further,it provides a platform for the screening of additives and the optimization of the powder properties of crystal products in industrial-scale crystallization processes.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.11304079,11404094,and 11504088)Science and Technology Research Project of Henan Science and Technology Department(Grant No.182102410076)。
文摘The capture of CO_(2)from CO_(2)/H_(2)gas mixtures in syngas is a crucial issue for hydrogen production from steam methane reforming in industry,as the presence of CO_(2)directly affects the purity of H_(2).A combination of a high-throughput screening method and grand canonical Monte Carlo simulation was utilized to evaluate and screen 1725 metal–organic frameworks(MOFs)in detail as a means of determining their adsorption performance for CO_(2)/H_(2)gas mixtures.The adsorption and separation performance of double-linker MOFs was comprehensively evaluated using eight evaluation indicators,namely,the largest cavity diameter,accessible surface area,pore occupied accessible volume,porosity,adsorption selectivity,working capacity,adsorbent performance score and percent regeneration.Six optimal performance frameworks were screened to further study their single-component adsorption and binary competitive adsorption of CO_(2)/H_(2)respectively.The CO_(2)adsorption selectivity at different CO_(2)/H_(2)feed ratios was also evaluated,which indicated their excellent adsorption and separation performance.The microscopic adsorption mechanisms for CO_(2)and H_(2)at the molecular level were investigated by analyzing the radial distribution function and density distribution.This study may provide directional guidance and reference for subsequent experiments on the adsorption and separation of CO_(2)/H_(2).
文摘Objective:The biosynthesis of pilose antler polysaccharides(PAPS)with anti-aging activity relies on the precise regulation of key enzymes;however,the identification of these enzymes is limited by traditional low-throughput techniques.This study constructed an integrated system combining metabolic engineering and high-throughput screening of fluorescent substrates,aiming to overcome the technical bottlenecks in the identification of key enzymes for PAPS synthesis and the optimization of their catalytic efficiency.Methods:Eighteen candidate genes related to carbohydrate metabolism were screened via transcriptome sequencing of deer antler stem cells.After prokaryotic expression and preliminary screening by high-performance liquid chromatography(HPLC),a self-designed fluorescent substrate(FAM-Glc-β1-3-PNPG)combined with a 96-well plate platform was used to achieve high-throughput optimization and screening of catalytic efficiency.Enzyme function was verified through kinetic analysis and in vitro antioxidant experiments.Results:The screened high-efficiency glycosyltransferase UGT-Wnt3a showed a 2.1-fold increase in catalytic efficiency compared with the wild type,with a maximum reaction rate(Vmax)of12.3μmol·min^(-1)·mg^(-1)and a Michaelis constant(Km)of 0.87 mM.The catalytic product of UGT-Wnt3a increased the superoxide dismutase(SOD)activity by 42%(P<0.01)and decreased the malondialdehyde(MDA)content by 28%(P<0.05)in the oxidative damage system.The detection efficiency of the new platform was 9 times higher than that of HPLC,and the limit of detection was reduced by 50 times.Conclusion:The screening system established in this study provides an innovative technical solution for the directed synthesis of PAPS and the development of anti-aging components,promoting the transformation of active components in traditional Chinese medicine from natural extraction to bioengineering-based production.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.2022R1F1A1074339)。
文摘For the advancement of fast-charging sodium-ion batteries(SIBs),the synthesis of cutting-edge cathode materials with superior structural stability and enhanced Na+diffusion kinetics is imperative.Multiphase layered transition metal oxides(LTMOs),which leverage the synergistic properties of two distinct monophasic LTMOs,have garnered significant attention;however,their efficacy under fast-charging conditions remains underexplored.In this study,we developed a high-throughput computational screening framework to identify optimal dopants that maximize the electrochemical performance of LTMOs.Specifically,we evaluated the efficacy of 32 dopants based on P2/O3-type Mn/Fe-based Na_(x)Mn_(0.5)Fe_(0.5)O_(2)(NMFO)cathode material.Multiphase LTMOs satisfying criteria for thermodynamic and structural stability,minimized phase transitions,and enhanced Na^(+)diffusion were systematically screened for their suitability in fast-charging applications.The analysis identified two dopants,Ti and Zr,which met all predefined screening criteria.Furthermore,we ranked and scored dopants based on their alignment with these criteria,establishing a comprehensive dopant performance database.These findings provide a robust foundation for experimental exploration and offer detailed guidelines for tailoring dopants to optimize fast-charging SIBs.
基金National Natural Science Foundation of China(22307109),Natural Science Foundation of Henan Province(222300420510)Key Research Project Plan for Higher Education Institutions in Henan Province(23A350013)the Tackle Key Problems in Science and Technology Project of Henan Province,China(242102311226,242102310417).
文摘Background Resistance to traditional intense chemotherapy and high invasiveness are characteristics of head and neck squamous cell cancer(HNSCC).Numerous human disorders are linked to N6-methyladenosine(m6A)modification of RNA,and the genetic changes in m6A regulatory genes in HNSCC are not well-understood.There is also a pressing need to find efficient targets and inhibitors for the treatment of HNSCC.This investigation examined the RNA m6A alteration in HNSCC and found putative IGFBP3 inhibitors for potential use.Methods We examined m6A regulator gene expression data from the public Gene Expression Omnibus(GEO)database in both normal tissues and patient HNSCC.For bioinformatics analysis,the R package and additional tools,including the m6A2Target database,Gene Ontology(GO)functional and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analyses,Gene Expression Profiling Interactive Analysis(GEPIA),and Human Protein Atlas,were used to examine the molecular mechanisms and prognostic impact for regulators that are distinctly expressed.Furthermore,TCMBank molecules were employed for virtual screening to find possible inhibitors.Results Out of the 151 differentially expressed genes(DEGs)found in the chosen datasets,insulin-like growth factor 2 mRNA-binding protein 3(IGF2BP3)was the m6A regulator that was elevated in HNSCC.The GO and KEGG analyses revealed that the target genes of IGF2BP3 were mostly enriched in several pathways and activities linked to cancer.In patients with HNSCC,IGF2BP3 showed an effective predictive effect by GEPIA analysis.Virtual screening yielded four traditional Chinese medicine ingredients as putative IGF2BP3 inhibitors for additional research.Discussion This work learned the role and prognostic effect of IGF2BP3 in HNSCC;meanwhile,the potential inhibitors of IGF2BP3 were identified for further study.
基金Natural Sciences Foundation of China (Grant No. 81872913)National High-tech R&D Program (863 Program, Grant No. 2015AA020911)。
文摘As a zinc-dependent enzyme, metal-β-lactamase L1 contributes to the development of β-lactam antibiotic resistance. The metal-β-lactamase inhibitor can restore the efficacy of β-lactam antibiotics, and its development has attracted much attention. In the present study, we used four widely-used virtual screening programs to screen 7035 small molecules to identify potential L1 inhibitors, and a high-throughput experimental model of L1 inhibitors was established. In this high-throughput testing model, the inhibition rate of 163 compounds on L1 exceeded 40%. The results of virtual screening of 7035 small molecules using the following four programs showed that among the top 1.35% of the compounds, their hit rates were ranked as Schr?dinger’s(5.26%), DS(1.05%), and Sybyl-x 2.0(1.05%), and Smina(2.11%).
基金National Natural Science Foundation of China(Grant No.21272017 and 81172917)
文摘As a type II or III transmembrane glycoprotein, human CD38 is ubiquitously expressed in all mammalian tissues. CD38 is a multi-functional enzyme and a member of the ADP-ribosyl cyclase family, and it catalyzes nicotinamide adenine dinucleotide （NAD^＋） and nicotinamide adenine dinucleotide phosphate （NADP＋） to two distinct Ca^2＋ messengers as follows： cyclic ADP-ribose （cADPR） and nicotinic acid adenine dinucleotide phosphate （NAADP）, respectively. Moreover, both cADPR and NAADP mediate mobilization of intracellular Ca^2＋ targeting endoplasmic stores and the lysosomes, respectively. In this study, we combined ligand-based and structure-based virtual screening strategies to compare the inhibitor discovery efficacy based on natural substrates and the known inhibitors. The similarity queries towards SPECS database were carried out using ROCS and EON modules of OpenEye software. The hits were further docked to CD38 using AutoDock 4.05 program. In addition, ADME studies were also processed considering solubility in water and membrane permeability. Finally, we identified 17 compotmds-based on natural substrates and 10 compounds based on known inhibitor models. The results showed that the known inhibitor H2-based model was more efficient in virtual screening of CD38 non-covalent inhibitors.
基金supported by the National High Technology Research and Development Program of China(863 Program, 2008AA10Z313)the Foundation for Sciand Tech Research Project of Zhejiang Province, China(2006C12096)Natural Science Foundation of Zhejiang Province, China (Y3090026)
文摘Angiotensin I converting enzyme （ACE） plays an important physiological role in the regulation of hypertension. In this study, we applied virtual screening to discover a novel angiotensin I converting enzyme inhibitory peptides from milk casein. One potential hit was identified based on docking scores, subsequently confirmed by activity studies in vitro （IC50=20.85 μmol L-1）. The proposed peptide in this study contains a unique sequence, Lys-Val-Leu-Ile-Leu-Ala. Moreover, we performed the docking studies to understand the binding mode between the enzyme and peptide hit.
基金National Natural Science Foundation of China (Grant No. 30271538)985 program,Ministry of Education of China
文摘To discover new lead compounds for M1 agonists. Ten typical M1 agonists were superimposed to build a M1 agonists 3D-pharmacophore model using distance-comparisons （DISCO） method without the previous knowledge of the three-dimensional structure of M1 receptor. Virtual screening strategy was used to analyze the Available Chemicals Directory-Screening Compounds （ACD-SC） to identify possible new hits. Twenty-two compounds which fit the pharmacophore model well and are not similar with known M1 agonists were purchased in order to evaluate their M1 receptor agonist activity. One of them shows M1 receptor agonist activity with EC50 of 4.90 μmol/L and maximum response. Multiple of 10.0 which shows it worthy of further study as a new lead compound for M1 agonists.
基金supported by the National Natural Science Foundation of China(Grant Nos.:82373835,82304437,and 82173781)Regional Joint Fund Project of Guangdong Basic and Applied Basic Research Fund,China(Grant Nos.:2023A1515110417 and 2023A1515140131)+2 种基金Regional Joint Fund-Key Project of Guangdong Basic and Applied Basic Research Fund,China(Grant No.:2020B1515120033)the Key Field Projects of General Universities in Guangdong Province,China(Grant Nos.:2020ZDZX2057 and 2022ZDZX2056)Medical Scientific Research Foundation of Guangdong Province of China(Grant No.:A2022061).
文摘Natural antimicrobial peptides(AMPs)are promising candidates for the development of a new generation of antimicrobials to combat antibiotic-resistant pathogens.They have found extensive applications in the fields of medicine,food,and agriculture.However,efficiently screening AMPs from natural sources poses several challenges,including low efficiency and high antibiotic resistance.This review focuses on the action mechanisms of AMPs,both through membrane and non-membrane routes.We thoroughly examine various highly efficient AMP screening methods,including whole-bacterial adsorption binding,cell membrane chromatography(CMC),phospholipid membrane chromatography binding,membranemediated capillary electrophoresis(CE),colorimetric assays,thin layer chromatography(TLC),fluorescence-based screening,genetic sequencing-based analysis,computational mining of AMP databases,and virtual screening methods.Additionally,we discuss potential developmental applications for enhancing the efficiency of AMP discovery.This review provides a comprehensive framework for identifying AMPs within complex natural product systems.
文摘Screening gene function in vivo is a powerful approach to discover novel drug targets. We present high-throughput screening （HTS） data for 3 762 distinct global gene knockout （KO） mouse lines with viable adult homozygous mice generated using either gene-trap or homologous recombination technologies. Bone mass was determined from DEXA scans of male and female mice at 14 weeks of age and by microCT analyses of bones from male mice at 16 weeks of age. Wild-type （WT） cagemates/littermates were examined for each gene KO. Lethality was observed in an additional 850 KO lines. Since primary HTS are susceptible to false positive findings, additional cohorts of mice from KO lines with intriguing HTS bone data were examined. Aging, ovariectomy, histomorphometry and bone strength studies were performed and possible non-skeletal phenotypes were explored. Together, these screens identified multiple genes affecting bone mass： 23 previously reported genes （Calcr, Cebpb, Crtap, Dcstamp, Dkkl, Duoxa2, Enppl, Fgf23, Kissl/Kisslr, Kl （Klotho）, Lrp5, Mstn, Neol, Npr2, Ostml, Postn, Sfrp4, S1c30a5, Sic39a13, Sost, Sumf1, Src, Wnt10b）, five novel genes extensively characterized （Cldn18, Fam20c, Lrrkl, Sgpll, Wnt16）, five novel genes with preliminary characterization （Agpat2, RassfS, Slc10a7, Stc26a7, Slc30a10） and three novel undisclosed genes coding for potential osteoporosis drug targets.
基金supported by the State Key Laboratory of Natural and Biomimetic Drugs, Peking University。
文摘Ion channels are attractive targets for drug discovery as an increasing number of new ion channel targets have been uncovered in diseases, such as pain, cardiovascular disease, and neurological disorders. Despite their relevance in diseases and the variety of physiological functions they are involved in, ion channels still remain underexploited as drug targets. This, to a large extent, is attributed to the absence of screening technologies that ensure both the quality and the throughput of data. However, an increasing number of assays and technologies have evolved rapidly in the past decades. In this review, we summarized the currently available high-throughput screening technologies in ion channel drug discovery.
基金supported by the Ministry of Science and Technology, PRC in Mega-projects of Science Research During the 10th Five-Year Plan Period (No. 2004AA2Z38784)National Natural Science Foundation of China (No. 30472026).
文摘Objective To develop a high-throughput screening assay for Farnesoid X receptor （FXR） agonists based on mammalian one-hybrid system （a chimera receptor gene system） for the purpose of identifying new lead compounds for dyslipidaemia drug from the chemical library. Methods cDNA encoding the human FXR ligand binding domain （LBD） was amplified by RT-PCR from a human liver total mRNA and fused to the DNA binding domain （DBD） of yeast GAL4 of pBIND to construct a GAL4-FXR （LBD） chimera expression plasmid. Five copies of the GAL4 DNA binding site were synthesized and inserted into upstream of the SV40 promoter of pGL3-promoter vector to construct a reporter plasmid pG5-SV40 Luc. The assay was developed by transient co-transfection with pG5-SV40 Luc reporter plasmid and pBIND-FXR-LBD （189-472） chimera expression plasmid. Results After optimization, CDCA, a FXR natural agonist, could induce expression of the luciferase gene in a dose-dependent manner, and had a signal/noise ratio of 10 and Z＇ factor value of 0.65, Conclusion A stable and sensitive cell-based high-throughput screening model can be used in high-throughput screening for FXR agonists from the synthetic and natural compound library.
基金Projects 50574091 and 50774084 supported by the National Natural Science Foundation of China
文摘The authors have created a virtual test of vibration particle-screening using Autodesk's 3ds Max software,the MAXScript scripting language and the AGEIA PhysX physics processing unit(PPU).The affect of various parameters on screening efficiency were modeled.The parameters included vibration amplitude,frequency and direction.The length and inclination of the vibrating surface were also varied.The virtual experiment is in basic agreement with results predicted from screening theory.This shows that the virtual screener can be used for preliminary investigations and the results used to evaluate screen design.In addition it can help with theoretical research.
基金Project(31000350)supported by the National Natural Science Foundation of China
文摘Abstract： A simple optimized microplate-based method to assay endo-1,4-β-mannosidase activity was described as an improved high-throughput screening method. A series of experimental conditions were optimized. It is revealed that the optimum measurement procedure is as follows： adding 50μL of diluted enzyme sample and 50 μL substrate, incubating at 45 ℃ for exactly 5 min in micro-plate, mixing with 100 μL 3,5-dinitrosalicylic acid （DNS） reagent, maintaining at boiling point for 15 rain, cooling down to room temperature before determining the ABS value at 540 nm using an ELISA micro-plate reader. The reaction volume of the optimized microplate-assay is reduced to 200μL from 2 500 μL used in the standard β-mannanase macro-assay. The optimized micro-assay is significantly more sensitive in all of the 643 candidates during endo-1,4-β-mannosidase screening. Statistical analyses show that the sensitivity of the optimized micro-method is significantly greater than that of the macro-assay. The optimized method is convenient, fast, and cheap for high throughput enzyme screening.
