Identifying 124 New Anti-Hiv Drug Candidates in a 37 Billion-Compound Database: An Integrated Approach of Machine Learning (Qsar), Molecular Docking, and Molecular Dynamics Simulation

AuthID
 P-010-E5V
8
Author(s)
Cobre, AD
·
Ara, A
·
Alves, AC
·
Neto, MM
·
Fachi, MM
·
Beca, LSDB
·
Document Type
Article
Year published
2024
Published
in CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, ISSN: 0169-7439
Volume: 250, Pages: 105145 (11)
Indexing
Wos®
Scopus®
Crossref®
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85193535337
Wos: WOS:001292291200001
Source Identifiers
ISSN: 0169-7439
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