A SAR and QSAR study on 3CLpro inhibitors of SARS-CoV-2 using machine learning methods
Author:
Affiliation:
1. State Key Laboratory of Chemical Resource Engineering, Department of Pharmaceutical Engineering, Beijing University of Chemical Technology, Beijing, P. R. China
Funder
no funding associated with the work featured
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2024.2375513
Reference88 articles.
1. Development of a simple, interpretable and easily transferable QSAR model for quick screening antiviral databases in search of novel 3C-like protease (3CLpro) enzyme inhibitors against SARS-CoV diseases
2. Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan
3. Systematic Comparison of Two Animal-to-Human Transmitted Human Coronaviruses: SARS-CoV-2 and SARS-CoV
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