In the year 1971,the world’s biggest structural biology collaboration name—The Research Collaboratory for Structural Bioinformatics(RCSB),was formed to gather all the structural biologists at a single platform and t...In the year 1971,the world’s biggest structural biology collaboration name—The Research Collaboratory for Structural Bioinformatics(RCSB),was formed to gather all the structural biologists at a single platform and then extended out to be the world’s most extensive structural data repository named RCSB-Protein Data Bank(PDB)(https://www.rcsb.org/)that has provided the service for more than 50 years and continues its legacy for the discoveries and repositories for structural data.The RCSB has evolved from being a collaboratory network to a full-fledged database and tool with a huge list of protein structures,nucleic acid-containing structures,ModelArchive,and AlphaFold structures,and the best is that it is expanding day by day with computational advancement with tools and visual experiences.In this review article,we have discussed how RCSB has been a successful collaboratory network,its expansion in each decade,and how it has helped the ground-breaking research.The PDB tools that are helping the researchers,yearly data deposition,validation,processing,and suggestions that can help the developer improve for upcoming years are also discussed.This review will help future researchers understand the complete history of RCSB and its developments in each decade and how various future collaborative networks can be developed in various scientific areas and can be successful by keeping RCSB as a case study.展开更多
The Protein Data Bank(PDB)is an ever-growing database of three-dimensional macromolecular structures that has become a crucial resource for the drug discovery process.Exploring complexed proteins and accessing their a...The Protein Data Bank(PDB)is an ever-growing database of three-dimensional macromolecular structures that has become a crucial resource for the drug discovery process.Exploring complexed proteins and accessing their associated ligands are essential for researchers to understand biological processes and design new compounds of pharmaceutical interest.However,currently available tools for large-scale ligand identification fail to address many of the more complex ways in which ligands are stored and represented in PDB structures.Therefore,a new tool called LigExtract was specifically developed for the large-scale processing of PDB structures and the identification of their ligands.This is a fully opensource tool available to the scientific community,designed to provide end-to-end processing.Users simply provide a list of UniProt IDs,and LigExtract returns a list of ligands,their individual PDB files,a PDB file of the protein chains interacting with the ligand,and a series of log files.These logs record the decisions made during the ligand extraction process and flag additional scenarios that might have to be considered during any follow-up use of the processed files(e.g.,ligands covalently bound to the protein).LigExtract is freely available on GitHub(https://github.com/comp-medchem/LigExtract).展开更多
This paper analyzes the advantages of legal digital currencies and explores their impact on bank big data practices.By combining bank big data collection and processing,it clarifies that legal digital currencies can e...This paper analyzes the advantages of legal digital currencies and explores their impact on bank big data practices.By combining bank big data collection and processing,it clarifies that legal digital currencies can enhance the efficiency of bank data processing,enrich data types,and strengthen data analysis and application capabilities.In response to future development needs,it is necessary to strengthen data collection management,enhance data processing capabilities,innovate big data application models,and provide references for bank big data practices,promoting the transformation and upgrading of the banking industry in the context of legal digital currencies.展开更多
Blockchain is commonly considered a potentialdisruptive technology. Moreover, the healthcareindustry has experienced rapid growth in the adoption ofhealth information technology, such as electronic healthrecords and e...Blockchain is commonly considered a potentialdisruptive technology. Moreover, the healthcareindustry has experienced rapid growth in the adoption ofhealth information technology, such as electronic healthrecords and electronic medical records. To guarantee dataprivacy and data security as well as to harness the value ofhealth data, the concept of Health Data Bank (HDB) isproposed. In this study, HDB is defined as an integratedhealth data service institution, which bears no “ownership”of health data and operates health data under the principalagentmodel. This study first comprehensively reviews themain characters of blockchain and identifies the blockchain-based healthcare industry projects and startups in theareas of health insurance, pharmacy, and medical treatment.Then, we analyze the fundamental principles ofHDB and point out four challenges faced by HDB’ssustainable development: (1) privacy protection andinteroperability of health data;(2) data rights;(3) healthdata supervision;(4) and willingness to share health data.We also analyze the important benefits of blockchainadoption in HDB. Furthermore, three application scenariosincluding distributed storage of health data, smart-contractbasedhealthcare service mode, and consensus-algorithmbasedincentive policy are proposed to shed light on HDBbasedhealthcare service mode. In the end, this study offersinsights into potential research directions and challenges.展开更多
Objectives:To date,no study provides a comprehensive analysis of traumatic orbital floor fractures across the United States.We aimed to characterize patient demographics,injury-related variables,and operative manageme...Objectives:To date,no study provides a comprehensive analysis of traumatic orbital floor fractures across the United States.We aimed to characterize patient demographics,injury-related variables,and operative management in this population.Method:The National Trauma Data Bank was queried for open or closed orbital floor fractures from 2008 to 2016.Clinical data were extracted.Results:Overall,148,592 orbital floor fractures were identified,with 142,577(95.9%)closed-and 6158(4.1%)open-type fractures.A total of 106,243(71.5%)patients were male and the median patient age was 41 years.The majority of patients(79.2%)had abbreviated injury scale scores of≤2,indicating minor/moderate injury.Fracture mechanism of injury(MOI)differed by gender,with the most frequent being unarmed fights in men(34.3%)and falls in women(14.0%).There were 29,600 patients(19.9%)with isolated orbital floor(I-OF)fractures.The MOI most strongly associated with operative intervention of with I-OF fractures were penetrating injuries caused by a firearm(odds ratio[OR]:2.91;95%confidence interval[CI]:1.62–5.20)and cuttings/piercings(OR:2.17;95%CI:1.29–3.65).Conclusion:This large epidemiological study reveals that orbital floor fractures tend to present with minor or moderate injuries and are more likely to require operative intervention in setting of firearm or cut/pierce injuries.展开更多
By the end of 2013, Chinese large-scaled commercial banks have basically completed the construction of IT banking system, in order to provide technical guarantee of deepening business operation and operation managemen...By the end of 2013, Chinese large-scaled commercial banks have basically completed the construction of IT banking system, in order to provide technical guarantee of deepening business operation and operation management reform. This indicates that our national banking industry information technology has been in a new level. This paper, based on the operation principle of commercial bank safety, liquidity and profitability, makes research on improving commercial banking profit data timeliness, accuracy, integrity and realizing daily accounting profit. According to survey, the four big banks have proposed the prospect of 2013 full scope implementing daily accounting profit. Thus, this paper, based on the profit accounting status of four big banks of data center, analyzes the feasibility of daily accounting profit and puts forward the relevant solutions.展开更多
Existing literature related to efficiency measurement and productivity analysis of banks is swarmed with the input-output classification of banks based on using accounting conventions. This usage varies from paper to ...Existing literature related to efficiency measurement and productivity analysis of banks is swarmed with the input-output classification of banks based on using accounting conventions. This usage varies from paper to paper. No two research papers are in consensus as to which classification should be used. This present work, however, uses the input-output classification of banks based on Barnett’s generalized model of production for financial intermediaries originally proposed in Barnett (1987) [1]. This model is based on economic theory definitions of inputs and outputs of a bank. Using this classification, the paper applies Data Envelopment Analysis to US banks during 2006-2016. This new methodology seeks to resolve and fix the issue of lack of consensus regarding which inputs and outputs to use for productivity analysis of banks. Furthermore, a standardized way of measuring productivity across banks is developed which can be used all over the world. This is accomplished by using the Malmquist Index of Productivity which is a tool used under Data Envelopment Analysis. The paper further establishes the connection of this tool with Barnett’s generalized model of production for financial intermediaries. Results indicate very high efficiency levels for US banks even post financial crisis. The reason for this performance is the cleansing of the financial system as unhealthy banks either left the scene or were merged. Better risk management, cost management and efficiency of structure of funding are some other reasons for high efficiency.展开更多
文摘In the year 1971,the world’s biggest structural biology collaboration name—The Research Collaboratory for Structural Bioinformatics(RCSB),was formed to gather all the structural biologists at a single platform and then extended out to be the world’s most extensive structural data repository named RCSB-Protein Data Bank(PDB)(https://www.rcsb.org/)that has provided the service for more than 50 years and continues its legacy for the discoveries and repositories for structural data.The RCSB has evolved from being a collaboratory network to a full-fledged database and tool with a huge list of protein structures,nucleic acid-containing structures,ModelArchive,and AlphaFold structures,and the best is that it is expanding day by day with computational advancement with tools and visual experiences.In this review article,we have discussed how RCSB has been a successful collaboratory network,its expansion in each decade,and how it has helped the ground-breaking research.The PDB tools that are helping the researchers,yearly data deposition,validation,processing,and suggestions that can help the developer improve for upcoming years are also discussed.This review will help future researchers understand the complete history of RCSB and its developments in each decade and how various future collaborative networks can be developed in various scientific areas and can be successful by keeping RCSB as a case study.
基金supported by the Portuguese Science Foundation FCT(Fundacao para a Ciencia e a Tecnologia,Portugal)(Grant Nos.EXPL/QUI-OUT/1288/2021,2022.03752.PTDC,PTDC/MED-QUI/3542/2020,PhD grant 2024.05709.BDANA,UID/04138/2020,and CPCA/A2/6972/2020)supported by the Marie Skłodowska-Curie Actions(TClock4AD)(Grant No.101072895)the European Regional Development Fund(Grant No.LISBOA-01-0246-FEDER-000017).
文摘The Protein Data Bank(PDB)is an ever-growing database of three-dimensional macromolecular structures that has become a crucial resource for the drug discovery process.Exploring complexed proteins and accessing their associated ligands are essential for researchers to understand biological processes and design new compounds of pharmaceutical interest.However,currently available tools for large-scale ligand identification fail to address many of the more complex ways in which ligands are stored and represented in PDB structures.Therefore,a new tool called LigExtract was specifically developed for the large-scale processing of PDB structures and the identification of their ligands.This is a fully opensource tool available to the scientific community,designed to provide end-to-end processing.Users simply provide a list of UniProt IDs,and LigExtract returns a list of ligands,their individual PDB files,a PDB file of the protein chains interacting with the ligand,and a series of log files.These logs record the decisions made during the ligand extraction process and flag additional scenarios that might have to be considered during any follow-up use of the processed files(e.g.,ligands covalently bound to the protein).LigExtract is freely available on GitHub(https://github.com/comp-medchem/LigExtract).
文摘This paper analyzes the advantages of legal digital currencies and explores their impact on bank big data practices.By combining bank big data collection and processing,it clarifies that legal digital currencies can enhance the efficiency of bank data processing,enrich data types,and strengthen data analysis and application capabilities.In response to future development needs,it is necessary to strengthen data collection management,enhance data processing capabilities,innovate big data application models,and provide references for bank big data practices,promoting the transformation and upgrading of the banking industry in the context of legal digital currencies.
基金the National Natural Science Foundation of China(Grant No.71671039).
文摘Blockchain is commonly considered a potentialdisruptive technology. Moreover, the healthcareindustry has experienced rapid growth in the adoption ofhealth information technology, such as electronic healthrecords and electronic medical records. To guarantee dataprivacy and data security as well as to harness the value ofhealth data, the concept of Health Data Bank (HDB) isproposed. In this study, HDB is defined as an integratedhealth data service institution, which bears no “ownership”of health data and operates health data under the principalagentmodel. This study first comprehensively reviews themain characters of blockchain and identifies the blockchain-based healthcare industry projects and startups in theareas of health insurance, pharmacy, and medical treatment.Then, we analyze the fundamental principles ofHDB and point out four challenges faced by HDB’ssustainable development: (1) privacy protection andinteroperability of health data;(2) data rights;(3) healthdata supervision;(4) and willingness to share health data.We also analyze the important benefits of blockchainadoption in HDB. Furthermore, three application scenariosincluding distributed storage of health data, smart-contractbasedhealthcare service mode, and consensus-algorithmbasedincentive policy are proposed to shed light on HDBbasedhealthcare service mode. In the end, this study offersinsights into potential research directions and challenges.
文摘Objectives:To date,no study provides a comprehensive analysis of traumatic orbital floor fractures across the United States.We aimed to characterize patient demographics,injury-related variables,and operative management in this population.Method:The National Trauma Data Bank was queried for open or closed orbital floor fractures from 2008 to 2016.Clinical data were extracted.Results:Overall,148,592 orbital floor fractures were identified,with 142,577(95.9%)closed-and 6158(4.1%)open-type fractures.A total of 106,243(71.5%)patients were male and the median patient age was 41 years.The majority of patients(79.2%)had abbreviated injury scale scores of≤2,indicating minor/moderate injury.Fracture mechanism of injury(MOI)differed by gender,with the most frequent being unarmed fights in men(34.3%)and falls in women(14.0%).There were 29,600 patients(19.9%)with isolated orbital floor(I-OF)fractures.The MOI most strongly associated with operative intervention of with I-OF fractures were penetrating injuries caused by a firearm(odds ratio[OR]:2.91;95%confidence interval[CI]:1.62–5.20)and cuttings/piercings(OR:2.17;95%CI:1.29–3.65).Conclusion:This large epidemiological study reveals that orbital floor fractures tend to present with minor or moderate injuries and are more likely to require operative intervention in setting of firearm or cut/pierce injuries.
文摘By the end of 2013, Chinese large-scaled commercial banks have basically completed the construction of IT banking system, in order to provide technical guarantee of deepening business operation and operation management reform. This indicates that our national banking industry information technology has been in a new level. This paper, based on the operation principle of commercial bank safety, liquidity and profitability, makes research on improving commercial banking profit data timeliness, accuracy, integrity and realizing daily accounting profit. According to survey, the four big banks have proposed the prospect of 2013 full scope implementing daily accounting profit. Thus, this paper, based on the profit accounting status of four big banks of data center, analyzes the feasibility of daily accounting profit and puts forward the relevant solutions.
文摘Existing literature related to efficiency measurement and productivity analysis of banks is swarmed with the input-output classification of banks based on using accounting conventions. This usage varies from paper to paper. No two research papers are in consensus as to which classification should be used. This present work, however, uses the input-output classification of banks based on Barnett’s generalized model of production for financial intermediaries originally proposed in Barnett (1987) [1]. This model is based on economic theory definitions of inputs and outputs of a bank. Using this classification, the paper applies Data Envelopment Analysis to US banks during 2006-2016. This new methodology seeks to resolve and fix the issue of lack of consensus regarding which inputs and outputs to use for productivity analysis of banks. Furthermore, a standardized way of measuring productivity across banks is developed which can be used all over the world. This is accomplished by using the Malmquist Index of Productivity which is a tool used under Data Envelopment Analysis. The paper further establishes the connection of this tool with Barnett’s generalized model of production for financial intermediaries. Results indicate very high efficiency levels for US banks even post financial crisis. The reason for this performance is the cleansing of the financial system as unhealthy banks either left the scene or were merged. Better risk management, cost management and efficiency of structure of funding are some other reasons for high efficiency.
