Computational Structural Validation of CYP2C9 Mutations and Evaluation of
Machine Learning Algorithms in Predicting the Therapeutic Outcomes of Warfarin
Abstract:Aim:
The study aimed to identify the key pharmacogenetic variable influencing the therapeutic outcomes of warfarin using machine learning algorithms and bioinformatics tools.
Background:
Warfarin, a commonly used anticoagulant drug, is influenced by cytochrome P450 (CYP) enzymes, particularly CYP2C9. MLAs have been identified to have great potential in personalized therapy.
Objective:
The purpose of the study was to evaluate MLAs in predicting the critical outcomes of warfarin therapy and validate the key … Show more
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