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尼可地尔片ADMET软件毒性预测及有关物质探索性研究
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作者 田甜 杜启露 陈秋竹 《山东化工》 2025年第17期112-116,共5页
目的:为通过预测尼可地尔片中有关物质的毒理作用,结合ICH Q3B(R2)新药制剂中杂质的指导原则并综合研判原研企业及各过评企业的标准拟定了各杂质合理的限度,同时进行方法学验证,确保该方法科学准确。方法:通过ADMET毒理分析软件预测该... 目的:为通过预测尼可地尔片中有关物质的毒理作用,结合ICH Q3B(R2)新药制剂中杂质的指导原则并综合研判原研企业及各过评企业的标准拟定了各杂质合理的限度,同时进行方法学验证,确保该方法科学准确。方法:通过ADMET毒理分析软件预测该系列杂质;采用高效液相色谱法,色谱柱Waters SunFire C18(4.6 mm×150 mm,3.5μm),柱温25℃,样品室温度4℃,检测波长262 nm,流速0.8 mL/min,流动相0.01 mol/L磷酸氢二铵溶液-乙腈(V磷酸氢二铵溶液∶V乙腈=90∶10,用磷酸调节pH值至7.0)。结果:经ADMET软件分析预测,尼可地尔及5种杂质无明显毒性作用,生物安全性良好;高效液相色谱法专属性强、精密度良好、稳定性良好、准确度高,可用作尼可地尔片有关物质的含量测定。结论:该方法灵敏度好,快速准确,可用于尼可地尔片有关物质的控制,为完善尼可地尔片的质量标准提供依据。 展开更多
关键词 尼可地尔 毒理评价 admet软件 有关物质检查 高效液相色谱法
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基于孟德尔随机化、机器学习、网络药理学及ADMET分析技术探究银耳降血脂的潜在作用机制
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作者 辛燕花 李进 +6 位作者 秦爱钰 任琳霞 常庆红 沈奕心 郭兰影 宿婧 梁彬 《菌物学报》 北大核心 2025年第9期187-202,共16页
血脂异常是诱发心血管疾病的关键危险因素,探寻安全且高效的降血脂天然产物,对防控心血管疾病意义重大。本研究旨在运用网络药理学、机器学习、孟德尔随机化以及ADMET方法探讨银耳降血脂的潜在机制。研究结果表明,银耳的22个次级代谢产... 血脂异常是诱发心血管疾病的关键危险因素,探寻安全且高效的降血脂天然产物,对防控心血管疾病意义重大。本研究旨在运用网络药理学、机器学习、孟德尔随机化以及ADMET方法探讨银耳降血脂的潜在机制。研究结果表明,银耳的22个次级代谢产物与233个靶点共同作用,蛋白质网络分析显示MTOR、CASP3、EGFR、RHOA、TP53、STAT3、AKT1、HIF1A等为关键靶点,经构建2种机器学习模型预测得到交集特征靶点为CASP3和HIF1A,进行两样本孟德尔随机化(MR)分析发现,CASP3与高血脂的发病之间呈现出显著的因果关联。GO功能和KEGG通路分析发现CASP3主要涉及p53信号通路、AGE-RAGE信号通路与糖尿病并发症、MAPK信号通路。分子对接结果显示,银耳中的3-hydroxy-2,4,7-trimethoxy-9,10-dihydrophenanthrene(Tf2)、simulansine(Tf8)和urinatetralin(Tf18)等活性成分与关键靶蛋白CASP3之间具有良好的结合作用。基于吸收、分布、代谢、排泄及毒性(ADMET)的系统分析表明,上述3种活性成分展现出优良的药代动力学特性,在胃肠道吸收方面表现出色,具备一定的开发成药物的潜力。本研究为银耳应用于高血脂治疗的临床实践及未来研究提供了一定的参考。 展开更多
关键词 银耳 高血脂 网络药理学 机器学习 孟德尔随机化 admet分析
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GC-MS Analysis,Antimicrobial Activity,and Genotoxicity of Pimpinella anisum Essential oil:In Vitro,ADMET and Molecular Docking Investigations
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作者 Ahmed Qasem 《Phyton-International Journal of Experimental Botany》 2025年第3期809-824,共16页
Pimpinella anisum,commonly known as anise,is generally used in both folk medicine and the culinary world.In traditional medicine,it is valued for its digestive,respiratory,and antispasmodic properties.This study aims ... Pimpinella anisum,commonly known as anise,is generally used in both folk medicine and the culinary world.In traditional medicine,it is valued for its digestive,respiratory,and antispasmodic properties.This study aims to examine the volatile compounds and antibacterial effect of P.anisum essential oil(PAEO)as well as for the first time its genotoxicity employing both in vitro and computational approaches.Gas chromatography-mass spectrometry(GC-MS)analysis identified anethole as the principal compound,which comprises 92.47%of PAEO.PAEO was tested for its potential antibacterial properties against Bacillus subtilis ATCC 6633,Listeria innocua ATCC 33090,Staphylococcus aureus ATCC 29213,Klebsiella aerogenes ATCC 13048,and a clinical strain of Salmonella enterica serotype Typhi.PAEO displayed noteworthy antibacterial action toward all tested bacteria,especially Staphylococcus aureus,with an inhibition zone of 21.43±0.87 mm,as determined by the disc-diffusion test.Varied between 0.0625%and 2%v/v,while the MBC values ranged from 0.125%to 8%v/v,reflecting the strength of the tested EO.The MBC/MIC ratios indicated the bactericidal nature of PAEO.The results of molecular docking revealed strong binding interactions between key PAEO molecules and microbial target proteins.ADMET(Absorption,Distribution,Metabolism,Excretion,and Toxicity)analysis confirmed favorable pharmacokinetic properties,indicating its potential as a safe therapeutic agent.Additionally,genotoxicity was assessed using the comet assay,which demonstrated minimal genotoxic risk,affirming the oil’s safety.These results highlight the promising antimicrobial properties of PAEO and its possible use as an active agent in the pharmacy,food,and cosmetic sectors. 展开更多
关键词 admet molecular docking GENOTOXICITY ANTIMICROBIAL in vitro study anti-bacterial agents drug development
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Lipoxygenase inhibitory potential of secondary metabolites isolated from Pistacia integerrima:a comprehensive in vitro analysis integrating molecular docking,ADMET and DFT studies
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作者 Abdur Rauf Muhammad Umer Khan +6 位作者 Zuneera Akram Chaudhry Ahmed Shabbir Yahya Saleh Al-Awthan Omar Salem Bahattab Adil Abbas Hassan Mujawah Hassan A.Hemeg Marcello Iriti 《Traditional Medicine Research》 2025年第9期1-13,共13页
Background:Pistacia integerrima,a cornerstone of traditional medicine,is renowned for its therapeutic applications against various health conditions,including cancer and hepatitis.This study investigates the pharmacol... Background:Pistacia integerrima,a cornerstone of traditional medicine,is renowned for its therapeutic applications against various health conditions,including cancer and hepatitis.This study investigates the pharmacological potential of bioactive compounds derived from Pistacia integerrima in inhibiting 5-lipoxygenase(5-LOX),a key enzyme implicated in inflammation and cancer progression.The current study aimed to evaluate the lipoxygenase inhibitory activity of bioactive compounds from Pistacia integerrima and assess their potential for therapeutic development in the context of inflammation and cancer treatment.Methods:Three major compounds-spinacetin(1),patuletin(2),and pistagremic acid(3)-were isolated from Pistacia integerrima and analyzed for their lipoxygenase inhibitory activity.Biochemical assays and molecular docking studies were performed to assess their effectiveness in inhibiting 5-LOX.Results:All three compounds demonstrated significant inhibition of lipoxygenase activity.Spinacetin(1)and patuletin(2)exhibited the most potent inhibitory effects,with IC_(50)values of 40.34μM and 45.04μM,respectively.Molecular docking studies revealed that patuletin(2)had the highest binding affinity(−7.717 kcal/mol)against 5-LOX,followed by spinacetin(1)with a binding affinity of−6.074 kcal/mol.In-depth in silico analysis highlighted the drug-likeness of spinacetin(1)and its favorable toxicological profile,suggesting its suitability for therapeutic development.Conclusion:The study demonstrates that compounds from Pistacia integerrima,particularly spinacetin and patuletin,have significant lipoxygenase inhibitory activity,with spinacetin showing promise as a lead candidate for lipoxygenase-targeted therapies.The findings reinforce the therapeutic relevance of Pistacia integerrima and suggest that its bioactive compounds may serve as safer,plant-based alternatives to conventional anti-inflammatory and anticancer treatments. 展开更多
关键词 Pistacia integerrim PHYTOCHEMICALS 5-LOX in silico study molecular docking admet
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Evaluation of the protective effects of Crocus sativus L.against cypermethrin induced reproductive toxicity in male rats through the Nrf2 pathway and in silico ADMET analysis
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作者 Fareena Tariq Farah Ijaz +9 位作者 Yasameen Hameed Jasim Farah Naz Channa Sohail Ahmed Ahmed Shandookh Hameed Sobia Alyas Ahmed Raheem Rayshan Tahira Bibi Nazima Yousaf Khan Sadia Bibi Jameel Ahmed Buzdar 《Traditional Medicine Research》 2026年第3期12-25,共14页
Background:Epidemiological studies have confirmed that longer exposure to insecticides like cypermethrin(CYP)significantly increases the risk of male reproductive toxicity.Crocus sativus L.has been recognized due to i... Background:Epidemiological studies have confirmed that longer exposure to insecticides like cypermethrin(CYP)significantly increases the risk of male reproductive toxicity.Crocus sativus L.has been recognized due to its therapeutic properties,but its exact role and molecular mechanisms in treatment of reproductive dysfunction remain unclear.Methods:During this study,36 rats were randomly divided into six groups(n=6):control,CYP-induced(60 mg/kg),standard(leuprolide 3 mg/kg)and three treatment groups receiving aqueous,ethanolic,and oil extracts(50 mg/kg or 20 mL/kg)for post-toxicity induction.Results:The finding represented that exposure of CYP significantly increased oxidative stress,disrupted testicular architecture,and markedly reduced testosterone levels(P<0.05).Importantly,Crocus sativus L.treatment alleviated these changes by increasing the expression of Nrf2(nuclear factor erythroid 2-related factor 2),restoring the activity of antioxidant enzymes,and enhancing testicular histomorphology.Surprisingly,molecular docking established a high binding affinity of Crocus sativus L.phytoconstituents such as gallic acid,cinnamic acid and quercetin to the Nrf2-Keap1 complex.It is worth noting that,Crocus sativus L.exhibited a high level of protection against reproductive toxicity caused by CYP in male rats,which was mediated by the activation of Nrf2 pathway,reduction of oxidative damage,and favorable ADMET characteristics.Conclusion:Notably,this research provides a more valid,safe,and effective method of developing new drugs for reproductive disorders,however,further investigation is needed to support the research findings and implement it in clinical practice. 展开更多
关键词 Crocus sativus L. CYPERMETHRIN male reproductive toxicity Nrf2 pathway in silico admet analysis
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ERα靶向化合物筛选与优化:基于深度学习和多目标优化的ADMET模型
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作者 袁钰喜 李林峰 +1 位作者 李必嘉 廖礼航 《统计学与应用》 2025年第4期1-9,共9页
目前,抗胰腺癌候选药物化合物在药物研发中面临时间和成本等诸多挑战。因此,本文提出一种融合Lasso回归与BP神经网络模型的方法,用于筛选和优化ERα靶向化合物。首先,使用Lasso回归筛选出与生物活性(pIC50)相关的重要分子描述符,并通过... 目前,抗胰腺癌候选药物化合物在药物研发中面临时间和成本等诸多挑战。因此,本文提出一种融合Lasso回归与BP神经网络模型的方法,用于筛选和优化ERα靶向化合物。首先,使用Lasso回归筛选出与生物活性(pIC50)相关的重要分子描述符,并通过神经网络进行ADMET分类预测。实验结果表明,该方法能够有效提高药物活性和安全性的预测精度。从Lasso回归中筛选出的前20个重要特征对药物活性有显著影响,构建的随机森林回归模型在测试集上的准确率达到89%。并且筛选的特征在BP神经网络中ADMET分类任务中也表现良好,其中CYP3A4任务的准确率为91%。该方法为ERα拮抗剂的筛选和优化提供了可借鉴的思路。Currently, anti-breast cancer drug candidate compounds are facing many heavy challenges in drug discovery such as time and cost. Therefore, in this paper, we propose an approach that integrates Lasso regression and BP neural network models for screening and optimizing ERα-targeting compounds. First, important molecular descriptors related to biological activity (pIC50) were screened using Lasso regression and predicted by neural network for ADMET classification. The experimental results showed that this method can effectively improve the prediction accuracy of drug activity and safety. The top 20 important features screened from Lasso regression had a significant effect on drug activity, and the accuracy of the constructed random forest regression model reached 89% on the test set. And the screened features also performed well in the ADMET classification task in BP neural network, with an accuracy of 91% in the CYP3A4 task. This method provides a referable idea for the screening and optimization of ERα antagonists. 展开更多
关键词 Lasso回归 BP神经网络 ERα靶向化合物 admet分类
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New 4-imino-4H-Chromeno[2,3-d]Pyrimidin-3(5H)-Amine: Synthesis, Cytotoxic Effects on Tumoral Cell Lines and in Silico ADMET Properties
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作者 Marwa Dhiabi Sirine Karoui +7 位作者 Mehdi Fakhfakh Souhir Abid Emmanuelle Limanton Rémy Le Guével Thierry Charlier Ludovic Paquin Jean-Pierre Bazureau Houcine Ammar 《International Journal of Organic Chemistry》 2024年第3期107-122,共16页
The synthesis of new 4-imino-4H-chromeno[2,3-d]pyrimidin-3(5H)-amine in four steps including one step under microwave dielectric heating is reported. The structural identity of the synthesized compounds was establishe... The synthesis of new 4-imino-4H-chromeno[2,3-d]pyrimidin-3(5H)-amine in four steps including one step under microwave dielectric heating is reported. The structural identity of the synthesized compounds was established according to their spectroscopic analysis, such as FT-IR, NMR and mass spectroscopy. These new compounds were tested for their antiproliferative activities on seven representative human tumoral cell lines (Huh7 D12, Caco2, MDA-MB231, MDA-MB468, HCT116, PC3 and MCF7) and also on fibroblasts. Among them, only the compounds 6c showed micromolar cytotoxic activity on tumor cell lines (1.8 50 50 > 25 μM). Finally, in silico ADMET studies ware performed to investigate the possibility of using of the identified compound 6c as potential anti-tumor compound. 展开更多
关键词 2-Amino-4H-Chromene 4H-Chromeno[2 3-d]Pyrimidin-3(5H)-Amine Microwave Irradiation Tumoral Cell Line in Silico admet
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早期ADMET筛选技术在中药创新药物发现中的应用
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作者 迟雪洁 黄伟 孙蓉 《中药药理与临床》 CAS CSCD 北大核心 2011年第1期101-104,共4页
目的:总结早期ADMET筛选技术及其在中药创新药物发现中的作用,为提高中药创新药物研发的成功率提供文献依据和研究思路。方法:对近15年来国内外发表的相关文献进行分析、整理和归纳。结果:早期ADMET筛选技术主要用于中药候选药物的体外... 目的:总结早期ADMET筛选技术及其在中药创新药物发现中的作用,为提高中药创新药物研发的成功率提供文献依据和研究思路。方法:对近15年来国内外发表的相关文献进行分析、整理和归纳。结果:早期ADMET筛选技术主要用于中药候选药物的体外评估,即可显著提高中药新药研发成功率,又可预测其毒性作用。结论:随着计算机和LC/MS及LC/MS/MS等现代分析技术在ADMET筛选技术中的应用,中药的ADMET分析系统的建立必将成为研究热点。 展开更多
关键词 admet筛选技术 中药创新药物 应用前景
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基于从头设计及ADMET的木姜子属中木脂素类化合物5-LOX抑制剂筛选研究(Ⅱ) 被引量:1
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作者 夏侯真如 汪欣怡 +5 位作者 潘捷 杨平 李碧桃 文政琦 汪云松 杨靖华 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2022年第4期800-811,共12页
5-脂氧合酶(5-LOX)作为白三烯生物合成的关键酶之一,是炎症反应研究中的重要靶点.目前其相关上市药物存在肝毒性、半衰期短等不足,因此肝毒性较小且抑制活性较高的5-LOX抑制剂具有开发研究的必要.文章在前期研究基础上,发现传统药物资... 5-脂氧合酶(5-LOX)作为白三烯生物合成的关键酶之一,是炎症反应研究中的重要靶点.目前其相关上市药物存在肝毒性、半衰期短等不足,因此肝毒性较小且抑制活性较高的5-LOX抑制剂具有开发研究的必要.文章在前期研究基础上,发现传统药物资源木姜子属植物中的木脂素类化合物可能具有一定的5-LOX抑制活性,因此采用从头设计、类药规则和ADMET筛选等计算机辅助药物设计技术,对其进行深入研究.研究发现从头设计碎片生长分子均有较好的筛选结果,且其中有11个小分子,分子对接打分值较高,残基结合模式与齐留通较为类似,特别是其具有肝毒性较小、血浆蛋白结合率较低的优势特性.研究结果显示木姜子属植物中木脂素类化合物的11个从头设计衍生小分子具有一定的潜在5-LOX抑制活性,且具有肝毒性较小、血浆蛋白结合率较低的优势,具有一定深入研究价值,并且通过对残基相互作用模式的分析,为后续研究提供了一定的参考. 展开更多
关键词 木姜子属 木脂素 5-LOX抑制剂 从头设计 admet筛选
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石斛酚与丁香酸的ADMET分子模拟预测 被引量:1
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作者 肖婷 魏小勇 +6 位作者 高欣欣 顾琼 王岭 方花 古练权 戚辉 易艳群 《西北药学杂志》 CAS 2011年第3期211-213,共3页
目的分子模拟预测石斛酚与丁香酸的吸收、分布、代谢、排泄和毒理性(ADMET),为进一步开发研究奠定基础。方法采用DS2.1中ADMET模块,从吸收性、水溶性、血脑屏障穿透性、与人细胞色素P450 2D6酶结合、肝毒性、与血浆蛋白结合6个方面进行... 目的分子模拟预测石斛酚与丁香酸的吸收、分布、代谢、排泄和毒理性(ADMET),为进一步开发研究奠定基础。方法采用DS2.1中ADMET模块,从吸收性、水溶性、血脑屏障穿透性、与人细胞色素P450 2D6酶结合、肝毒性、与血浆蛋白结合6个方面进行测定。结果石斛酚的肝毒性比标准稍高,石斛酚与丁香酸的其他各方面的预测值都在正常范围内。结论石斛酚、丁香酸的ADMET测定结果符合药物研究开发的标准,可作为新药进一步研究。 展开更多
关键词 石斛酚 丁香酸 admet
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面向知识发现的药物ADMET情报预测方法 被引量:2
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作者 郭勇 罗敏 幸芮 《情报科学》 CSSCI 北大核心 2023年第2期95-100,156,共7页
【目的/意义】挖掘药物筛选工作中的隐性知识,借助机器学习的预测能力替代生物实验方法,减少制药流程的研发时间和经济成本。【方法/过程】提出一种面向知识发现的ADMET情报预测理论框架,以4种传统机器学习方法和2种集成学习方法,分别构... 【目的/意义】挖掘药物筛选工作中的隐性知识,借助机器学习的预测能力替代生物实验方法,减少制药流程的研发时间和经济成本。【方法/过程】提出一种面向知识发现的ADMET情报预测理论框架,以4种传统机器学习方法和2种集成学习方法,分别构建6种分类预测模型,提取药物的隐性知识,比较不同模型的优越性,评估最优模型的经济价值。【结果/结论】以药物分子描述符信息预测ADMET具有可行性,6种模型性能表现综合排序结果为随机森林、梯度提升决策树、Logistic回归、支持向量机、K近邻、高斯朴素贝叶斯。前沿信息技术能够有效应用于药物知识发现,信息经济学分析可预见创造可观收益,是未来制药工艺降本增效的重要手段。【创新/局限】未来应融合专家知识、追加试验验证、丰富参考指标。 展开更多
关键词 机器学习 情报预测 知识发现 admet 经济价值
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Synthesis, docking and ADMET prediction of novel 5-((5-substituted-1-H-1,2,4-triazol-3-yl) methyl)-4,5,6,7-tetrahydrothieno[3,2-c]pyridine as antifungal agents 被引量:6
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作者 Jaiprakash N. Sangshetti Firoz A. Kalam Khan +2 位作者 Rashmi S. Chouthe Manoj G. Damale Devanand B. Shinde 《Chinese Chemical Letters》 SCIE CAS CSCD 2014年第7期1033-1038,共6页
A novel series of 5-((5-substituted-1H-1,2,4-triazol-3-yl)methyl)-4,5,6,7-tetrahydrothieno[3,2-c]pyr- idines 5(a-i) has been synthesized from thienopyridine hydrazide, substituted aromatic nitriles using 4- dime... A novel series of 5-((5-substituted-1H-1,2,4-triazol-3-yl)methyl)-4,5,6,7-tetrahydrothieno[3,2-c]pyr- idines 5(a-i) has been synthesized from thienopyridine hydrazide, substituted aromatic nitriles using 4- dimethylaminopyridine (DMAP) as a catalyst under microwave irradiation and evaluated for their in vitro antifungal activity. Compound 5g is found to be more potent against Candida albicans when compared with miconazole. Docking study of the newly synthesized compounds was performed, and results showed good binding mode in the active site of fungal enzyme P450 cytochrome lanosterol 14α- demethylase. ADMET properties of synthesized compounds were also analyzed and showed good drug like properties. The results of in vitro antifungal activity, docking study and ADMET prediction revealed that the synthesized compounds have potential antifungal activity and can be further optimized and developed as a lead compound. 展开更多
关键词 1 2 4-TRIAZOLE Microwave irradiation Antifungal activity Docking study admet properties
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创新药物体外ADMET的高通量筛选技术研究进展
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作者 邓志婷 戚欣 李静 《现代生物医学进展》 CAS 2012年第6期1176-1178,共3页
目前的新药研发策略已从传统的以活性为主导的筛选模式,转变为在测定药效的同时平行评价化合物的ADMET性质,并建立了系列体外ADMET高通量筛选技术。本文综述了近年来药物体外ADMET高通量筛选技术的研究进展。
关键词 高通量筛选 理化性质 admet
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Machine Learning-Based Quantitative Structure-Activity Relationship and ADMET Prediction Models for ERα Activity of Anti-Breast Cancer Drug Candidates 被引量:7
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作者 XU Zonghuang 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2023年第3期257-270,共14页
Breast cancer is presently one of the most common malignancies worldwide,with a higher fatality rate.In this study,a quantitative structure-activity relationship(QSAR)model of compound biological activity and ADMET(Ab... Breast cancer is presently one of the most common malignancies worldwide,with a higher fatality rate.In this study,a quantitative structure-activity relationship(QSAR)model of compound biological activity and ADMET(Absorption,Distribution,Metabolism,Excretion,Toxicity)properties prediction model were performed using estrogen receptor alpha(ERα)antagonist information collected from compound samples.We first utilized grey relation analysis(GRA)in conjunction with the random forest(RF)algorithm to identify the top 20 molecular descriptor variables that have the greatest influence on biological activity,and then we used Spearman correlation analysis to identify 16 independent variables.Second,a QSAR model of the compound were developed based on BP neural network(BPNN),genetic algorithm optimized BP neural network(GA-BPNN),and support vector regression(SVR).The BPNN,the SVR,and the logistic regression(LR)models were then used to identify and predict the ADMET properties of substances,with the prediction impacts of each model compared and assessed.The results reveal that a SVR model was used in QSAR quantitative prediction,and in the classification prediction of ADMET properties:the SVR model predicts the Caco-2 and hERG(human Ether-a-go-go Related Gene)properties,the LR model predicts the cytochrome P450 enzyme 3A4 subtype(CYP3A4)and Micronucleus(MN)properties,and the BPNN model predicts the Human Oral Bioavailability(HOB)properties.Finally,information entropy theory is used to validate the rationality of variable screening,and sensitivity analysis of the model demonstrates that the constructed model has high accuracy and stability,which can be used as a reference for screening probable active compounds and drug discovery. 展开更多
关键词 anti-breast cancer drug discovery quantitative structure-activity relationship(QSAR)model admet(Absorption Distribution Metabolism Excretion Toxicity)prediction machine learning
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Ferrocene-containing Polymers Synthesized by Acyclic Diene Metathesis(ADMET)Polymerization 被引量:2
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作者 张浩 Fang Liu +2 位作者 Jing Cao Li Ling Ran-feng Sun 《Chinese Journal of Polymer Science》 SCIE CAS CSCD 2016年第2期242-252,共11页
Herein we reported that ferrocene-containing polymers could be synthesized via acyclic diene metathesis (ADMET) polymerization of ferrocene-containing bis-styryl monomers. The all-trans-configured vinylene bonds of ... Herein we reported that ferrocene-containing polymers could be synthesized via acyclic diene metathesis (ADMET) polymerization of ferrocene-containing bis-styryl monomers. The all-trans-configured vinylene bonds of stilbene segment were proven by means of ^13C-NMR, ^1H-NMR, MALDI-TOF mass spectrometry and FTIR. Poly(1) showed maxima for absorption at 320 nm and emission at 430 nm which are structurally very similar to trans-stilbene, but 24 and 16 nm red shifted respectively. CIE chromaticity diagram shows that emission color could be adjusted by controlling the molecular weight. The polymer showed excellent solubility in common organic solvents and good thermal stability evidenced by TGA and DSC. The results of CV suggested the polymer possessed noninteracting metal centers which was confirmed by a reversible one-electron redox wave observed for the polymer. 展开更多
关键词 FERROCENE Polymers Acyclic diene metathesis polymerization admet).
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基于随机森林和深度神经网络的药物ADMET性质预测 被引量:1
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作者 王肖成 阮昊 +2 位作者 鹏奕锟 李成堃 陈雪 《微处理机》 2023年第2期39-43,共5页
针对抗乳腺癌药物研发中ADMET占据比例过大且难以准确预测等问题,提出一种基于随机森林及深度神经网络模型的候选药物ADMET性质预测模型。模型在保留分子结构信息的前提下,能够减少特征冗余和样本维度,以随机森林算法及特征选择过程结... 针对抗乳腺癌药物研发中ADMET占据比例过大且难以准确预测等问题,提出一种基于随机森林及深度神经网络模型的候选药物ADMET性质预测模型。模型在保留分子结构信息的前提下,能够减少特征冗余和样本维度,以随机森林算法及特征选择过程结合变量重要性评分方法,获取最优分子描述符变量特征。通过改进DNN模型结构中各层之间的快捷连接方式,更有效地保留分子结构信息。在公开数据集中进行对比试验,结果表明所模型在测试集中5种ADMET性质分类预测平均准确度可达89.15%,优于当前主流模型,具有更强的适用性。 展开更多
关键词 随机森林 深度神经网络 分子描述符变量 admet性质 药物研发
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化合物ADMET性质预测平台的构建 被引量:7
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作者 李晓 李达 +1 位作者 周雪松 赵勇 《生物信息学》 2017年第3期179-185,共7页
在药物研发早期阶段对化合物成药性和安全性进行评估,对于提高药物研发成功率、降低研发成本具有十分重要的意义。为了能够帮助药物研究工作者快速准确地判断候选化合物的成药性与安全性,开发了一个基于计算机方法的化合物ADMET性质预... 在药物研发早期阶段对化合物成药性和安全性进行评估,对于提高药物研发成功率、降低研发成本具有十分重要的意义。为了能够帮助药物研究工作者快速准确地判断候选化合物的成药性与安全性,开发了一个基于计算机方法的化合物ADMET性质预测平台。首先,通过文本挖掘的方法收集了化合物药代动力学性质和毒性(ADMET)的高质量实验数据。然后,根据原始文献复原了13个预测模型,同时采用支持向量机方法自建了15个具有较高预测能力的计算模型。最后,基于分布式架构,结合高性能计算集群优势,开发了化合物ADMET性质预测平台(http://www.vslead.com/?r=admet/index),用于预测28种重要的化合物ADMET性质。研究者可以使用这一平台快捷方便地对药物研究中比较重要的ADMET性质进行预测,在药物研发早期对候选化合物进行成药性评价和风险评估,有助于提高药物研的成功率,节省研发时间和经费的投入。 展开更多
关键词 药物研发 admet性质 机器学习
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基于机器学习方法的药物化合物ADMET性质分类预测 被引量:2
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作者 彭奕萍 《山西化工》 2022年第7期25-27,共3页
化合物作为药物成分必须有良好的ADMET性质,在药物研发早期对化合物的ADMET性质进行评估,有助于提高药物研发的成功率,降低研发成本。本文使用机器学习方法,对1974个化合物建立ADMET性质分类预测模型。首先利用低方差过滤法和带L1正则... 化合物作为药物成分必须有良好的ADMET性质,在药物研发早期对化合物的ADMET性质进行评估,有助于提高药物研发的成功率,降低研发成本。本文使用机器学习方法,对1974个化合物建立ADMET性质分类预测模型。首先利用低方差过滤法和带L1正则的逻辑斯蒂回归进行特征选择,从729个特征中选取50个变量作为建模的主要特征。接着引入逻辑斯蒂回归、线性支持向量机、非线性支持向量机、随机森林、梯度提升树五类机器学习算法对化合物的5个ADMET性质构建25个分类预测模型进行预测,以AUC值作为预测结果的评价指标,对其分类预测能力作出对比分析,在针对这5个ADMET性质(Caco-2、CYP3A4、hERG、HOB、MN)的分类预测任务中,效果最佳的模型分别取得了0.970、0.973、0.976、0.975、0.962的曲线下面积的模型表现。 展开更多
关键词 机器学习 药物研发 admet性质 算法对比
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基于随机森林的逻辑回归预测抗乳腺癌药物的ADMET性质 被引量:2
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作者 张襄松 高秀秀 《内蒙古工业大学学报(自然科学版)》 2023年第6期481-487,共7页
药物的ADMET性质(即药代动力学性质和安全性)是影响药物研发成败的最主要因素。为提高抗乳腺癌候选药物的研发成功率并减少开发成本,针对抗乳腺癌药物ADMET性质预测,采用一种基于随机森林的逻辑回归模型。基于该模型对抗乳腺癌药物ADME... 药物的ADMET性质(即药代动力学性质和安全性)是影响药物研发成败的最主要因素。为提高抗乳腺癌候选药物的研发成功率并减少开发成本,针对抗乳腺癌药物ADMET性质预测,采用一种基于随机森林的逻辑回归模型。基于该模型对抗乳腺癌药物ADMET性质进行预测,并进行对比验证。结果表明,该方法对抗乳腺癌药物ADMET性质预测的准确率较高且性能良好,为优化抗乳腺癌药物ADMET性质的预测提供了新的方案。 展开更多
关键词 admet性质 随机森林 逻辑回归 抗乳腺癌药物
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Biological activities of the Ornithogalum orthophyllum and its in silico ADMET profile
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作者 Duygu Taşkın ŞeydaŞentürk +4 位作者 Eray Metin Güler Ahmet Doğan Gülden Zehra Omurtag Mizgin Ermanoğlu Turgut Taşkın 《Traditional Medicine Research》 2021年第6期59-66,共8页
Background:The bulbs and aerial parts of Ornithogalum are used in Turkey both as food and to treat various ailments,and some of its medical applications are well known.However,the biological activities of Ornithogalum... Background:The bulbs and aerial parts of Ornithogalum are used in Turkey both as food and to treat various ailments,and some of its medical applications are well known.However,the biological activities of Ornithogalum orthophyllum have not yet been investigated.The objective of this study was to examine the antioxidant,urease and cholinesterase enzyme inhibition,and cytotoxic activities of different extracts obtained from the bulb and aerial parts of the O.orthophyllum plant.In addition,the absorption,distribution,metabolism,excretion,and toxicity properties of some phenolic compounds in plants were examined in silico.Methods:The antioxidant activity of the extracts obtained from the aerial parts of O.orthophyllum was investigated using the 2,2-diphenyl-1-picrylhydrazyl,2,2-azinobis(3-ethylbenzothiazoline-6-sulphonic acid),ferric reducing antioxidant power,and cupric reducing antioxidant capacity methods.Urease and cholinesterase enzyme inhibition were determined by using the indophenol and Ellman methods,respectively.The cytotoxic activity of the extracts was measured using a test based on the luminometric readings of the adenosine triphosphate levels of the cells.pkCSM,a free online web server(http://structure.bioc.cam.ac.uk/pkcsm)was used to predict the properties of the compounds analyzed.Results:The methanol extract of the aerial parts of O.orthophyllum was observed to have strong antioxidant and acetylcholinesterase enzyme inhibition potential.The petroleum ether extract of the aerial parts showed the highest anti-urease activity.The chloroform extract of the aerial parts exhibited the highest cytotoxic effect against A431 human epidermoid carcinoma cells.The absorption percentages of protocatechuic acid,p-hydroxybenzoic acid,vanillic acid,and p-coumaric acid compounds from the small intestine were between 71.17%and 93.49%,which were quite high.All the compounds were predicted to be unable to penetrate the central nervous system due to their inability to cross the blood-brain barrier.Not all compounds analyzed were predicted to have mutagenic,hepatotoxic,or minnow toxicity effects.Conclusion:The extracts obtained from the aerial parts of O.orthophyllum have strong biological activity and contain compounds that are well-absorbed and do not have mutagenic,hepatotoxic,or minnow toxicity effects,suggesting that they can be used as natural medicinal and nutritional sources in the future. 展开更多
关键词 Ornithogalum orthophyllum ANTIOXIDANT CYTOTOXIC ANTICHOLINESTERASE anti-urease admet
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