@Article{biocell.2023.025310, AUTHOR = {QIANG WANG, GUO ZHAO, LONGXIANG XIE, XUAN LI, XIXI YU, QIONGSHAN LI, BAOPING ZHENG, ZULIPINUER WUSIMAN, XIANGQIAN GUO}, TITLE = {dbSCI: A manually curated database of SARS-CoV-2 inhibitors for COVID-19}, JOURNAL = {BIOCELL}, VOLUME = {47}, YEAR = {2023}, NUMBER = {2}, PAGES = {367--371}, URL = {http://www.techscience.com/biocell/v47n2/50472}, ISSN = {1667-5746}, 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.}, DOI = {10.32604/biocell.2023.025310} }