This paper is in the following e-collection/theme issue:

Drug Discovery and Clinical Trials (8) Cancer Prognosis Models and Machine Learning (67) Machine Learning (2074) Drug discovery and development (8) Precision Medicine (159)

Published on in Vol 4 (2025)

This is a member publication of Tulane University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77890, first published .
Machine Learning–Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation

Machine Learning–Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation

Machine Learning–Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation

Authors of this article:

Samuel Kakraba1 Author Orcid Image ;   Srinivas Ayyadevara2 Author Orcid Image ;   Aayire Yadem Clement3 Author Orcid Image ;   Kuukua Egyinba Abraham4 Author Orcid Image ;   Cesar M Compadre5 Author Orcid Image ;   Robert J Shmookler Reis5 Author Orcid Image
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