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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Artificial intelligence for drug discovery: Resources, methods, and applications.

Wei Chen1,2, Xuesong Liu3, Sanyin Zhang1,2

  • 1State Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.

Molecular Therapy. Nucleic Acids
|March 16, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing drug discovery by accelerating processes and reducing costs. This review explores AI models, data resources, and applications from prediction to de novo design.

Failed At:

2026-06-19T13:40:00.207093+00:00

Keywords:
MT: Bioinformaticsartificial intelligencebioinformaticsdata resourcesdrug discovery and developmentmolecular descriptors

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