{"title":"dbSCI: A manually curated database of SARS-CoV-2 inhibitors for COVID-19","authors":"Qiang Wang, Guo Zhao, Longxiang Xie, Xuan Li, Xixi Yu, Qiongshan Li, Baoping Zheng, Zulipinuer Wusiman, Xiangqian Guo","doi":"10.32604/biocell.2023.025310","DOIUrl":null,"url":null,"abstract":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen of the ongoing coronavirus disease 2019 (COVID-19) global pandemic. Here, by centralizing published cell-based experiments, clinical trials, and virtual drug screening data from the NCBI PubMed database, we developed a database of SARS-CoV-2 inhibitors for COVID-19, dbSCI, which includes 234 SARS-CoV-2 inhibitors collected from publications based on cell-based experiments, 81 drugs of COVID-19 in clinical trials and 1305 potential SARS-CoV-2 inhibitors from bioinformatics analyses. dbSCI provides four major functions: (1) search the drug target or its inhibitor for SARS-CoV-2, (2) browse target/inhibitor information collected from cell experiments, clinical trials, and virtual drug screenings, (3) download, and (4) submit data. Each entry in dbSCI contains 18 types of information, including inhibitor/drug name, targeting protein, mechanism of inhibition, experimental technique, experimental sample type, and reference information. In summary, dbSCI provides a relatively comprehensive, credible repository for inhibitors/drugs against SARS-CoV-2 and their potential targeting mechanisms and it will be valuable for further studies to control COVID-19. [ FROM AUTHOR]","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"48 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biocell","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.32604/biocell.2023.025310","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen of the ongoing coronavirus disease 2019 (COVID-19) global pandemic. Here, by centralizing published cell-based experiments, clinical trials, and virtual drug screening data from the NCBI PubMed database, we developed a database of SARS-CoV-2 inhibitors for COVID-19, dbSCI, which includes 234 SARS-CoV-2 inhibitors collected from publications based on cell-based experiments, 81 drugs of COVID-19 in clinical trials and 1305 potential SARS-CoV-2 inhibitors from bioinformatics analyses. dbSCI provides four major functions: (1) search the drug target or its inhibitor for SARS-CoV-2, (2) browse target/inhibitor information collected from cell experiments, clinical trials, and virtual drug screenings, (3) download, and (4) submit data. Each entry in dbSCI contains 18 types of information, including inhibitor/drug name, targeting protein, mechanism of inhibition, experimental technique, experimental sample type, and reference information. In summary, dbSCI provides a relatively comprehensive, credible repository for inhibitors/drugs against SARS-CoV-2 and their potential targeting mechanisms and it will be valuable for further studies to control COVID-19. [ FROM AUTHOR]
期刊介绍:
BIOCELL welcomes Research articles and Review papers on structure, function and macromolecular organization of cells and cell components, focusing on cellular dynamics, motility and differentiation, particularly if related to cellular biochemistry, molecular biology, immunology, neurobiology, and on the suborganismal and organismal aspects of Vertebrate Reproduction and Development, Invertebrate Biology and Plant Biology.