Abstract :

The Pharmaceutical Industry Is Plagued By The Formidable Challenges Of Skyrocketing Costs And Protracted Timelines In The Pursuit Of Developing New Drugs. This Research Paper Delves Into The Pivotal Role Of Machine Learning (ML) In Expediting Drug Discovery Processes. We Delve Into An Array Of ML Techniques, Encompassing Generative Models, Virtual Screening, And Molecular Property Prediction, And Assess Their Profound Impact On Target Identification, Compound Screening, And Optimization. The Overarching Objective Of This Study Is To Illuminate The Transformative Potential Of ML In Revolutionizing The Drug Discovery Pipeline, Ultimately Leading To Enhanced Efficiency And Cost- Effectiveness In Drug Development.

Published:

22-7-2026

Issue:

Vol. 26 No. 7 (2026)

Page Nos:

1105-1111

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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