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

Drug Discovery and Clinical Trials (8) Cancer Prognosis Models and Machine Learning (72) Machine Learning (2130) Drug discovery and development (10) Precision Medicine (170)

Published on in Vol 4 (2025)

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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Journals

  1. Wenzheng H, Agyemang E, Srivastav S, Shaffer J, Kakraba S. Artificial Intelligence–Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics. JMIR Aging 2025;8:e70272 View