Artificial Intelligence Meets Drug Discovery: A Systematic Review on AI-Powered Target Identification and Molecular Design

Abstract excerpt

<h4>Background: </h4> Drug discovery is an inherently complex, resource-intensive, and time-consuming process, often requiring more than a decade to progress from initial target identification to regulatory approval. Despite technological advancements, high attrition rates and escalating research costs remain significant barriers. Artificial intelligence (AI) has emerged as a transformative force in pharmaceutical...

Topics

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• Bioinformatics and Genomic Networks
• Computational Drug Discovery Methods
• Drug Repositioning
• ErbB Receptors
• Machine Learning
• Molecular Docking Simulation
• Molecular Dynamics Simulation
• Mutation

Identifiers and source

Literature Corpus work

20fcc5f9-d91b-5c57-ae42-bc3630fac247

DOI

10.20944/preprints202503.0912.v1