Tracking protein kinase targeting advances: integrating QSAR into machine learning for kinase-targeted drug discovery

Tracking protein kinase targeting advances: integrating QSAR into machine learning for kinase-targeted drug discovery

Protein kinases are vital drug targets, yet designing selective inhibitors is challenging, compounded by resistance and kinome complexity. This review explores Quantitative Structure-Activity Relationship (QSAR) modeling for kinase drug discovery, focusing on integrating traditional QSAR with machin...

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Bibliographic Details
Main Authors: Rand Shahin, Sawsan Jaafreh, Yusra Azzam
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Future Science OA
Subjects:
QSAR
kinase
FDA approved
catalytic domain
discovery
machine learning
Online Access:https://www.tandfonline.com/doi/10.1080/20565623.2025.2483631
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https://www.tandfonline.com/doi/10.1080/20565623.2025.2483631

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