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Why is it important?
Machine learning and pharmacore modeling are transforming drug development by improving molecular screening and optimizing drug-target interactions. This approach enhances precision medicine, enabling faster identification of potential treatments for neurodegenerative and cancerous conditions.
Perspectives
The process of writing this article reinforced my appreciation for interdisciplinary research. Combining cheminformatics, structural biology, and AI-driven modeling is a powerful approach to tackling drug discovery challenges. I hope this article contributes to advancing pharmacophore-based techniques and fosters new collaborations in computational drug design.
Komal Sharma
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This page is a summary of: From data to cures: Leveraging machine learning, deep learning and pharmacore modelling for targeted therapies, January 2025, American Institute of Physics,
DOI: 10.1063/5.0247859.
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