Accessibility settings

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

Drug Discovery and Clinical Trials (10) Biomedical Engineering Articles (4) Development and Evaluation of Research Methods, Instruments and Tools (862) Artificial Intelligence (2509)

Published on in Vol 5 (2026)

This is a member publication of Tulane University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81552, first published .
Scientist analyzes leukemia drug candidates on computer screens with molecular models.

Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation

Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation

Authors of this article:

Samuel Kakraba1, 2 Author Orcid Image ;   Edmund Fosu Agyemang1 Author Orcid Image ;   Robert J Shmookler Reis3 Author Orcid Image
Article Authors Cited by (6) Tweetations (1) Metrics

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
  2. Harshvardhan Tanpure , Dattatray Jirekar . Development and Validation of a Simultaneous HPLC Method for Quantification of Atenolol and Amlodipine Besylate in Tablet Form. International Journal of Scientific Research in Science and Technology 2026;13(1):399 View
  3. Kakraba S, Agyemang E, Srivastav S. Cognitive sovereignty and decolonial public health: reclaiming epistemic authority in the global AI era. Frontiers in Public Health 2026;14 View
  4. Kakraba S, Yadem A, Abraham K, Chaudhry F, Agyemang E. Unraveling protein secrets: machine learning unveils novel biologically significant associations among amino acids. Network Modeling Analysis in Health Informatics and Bioinformatics 2026;15(1) View
  5. El-Tanani M, Rabbani S, Wali A, Muhana F, El-Tanani Y, Kumar R. Harnessing Machine Learning for Accelerated Drug Discovery: Opportunities and Unmet Challenges. Pharmaceuticals 2026;19(6):810 View
  6. Candanedo D, Agyemang E, Chaudhry F, Franks T, Taylor B, Siliezar K, Kakraba S. Leveraging machine learning algorithms and explainable AI for predicting mental health disorder treatment at the workplace. Acta Psychologica 2026;267:107081 View