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

Samuel Kakraba   1 , PhD ;   Srinivas Ayyadevara   2 , PhD ;   Aayire Yadem Clement   3 , PhD ;   Kuukua Egyinba Abraham   4 , MS ;   Cesar M Compadre   5 , PhD ;   Robert J Shmookler Reis   5 , PhD

1 Department of Biostatistics and Data Science, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States

2 Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, United States

3 CytoAstra LLC, Little Rock, AR, United States

4 Department of Mathematics, Memphis Shelby County Schools, Memphis, TN, United States

5 Department of Pharmaceutical Sciences, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, United States

Corresponding Author:

  • Samuel Kakraba, PhD
  • Department of Biostatistics and Data Science
  • Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University
  • 1440 Canal St
  • New Orleans, LA 70112
  • United States
  • Phone: 1 5049882475
  • Email: skakraba@tulane.edu