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AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.

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Bibliographic Details
Title: AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.
Authors: Mondal H; Department of Pharmaceutical Technology, Bharat Technology, Banitabla, Uluberia, Howrah, 711316, India., Bishal A; Department of Pharmaceutical Technology, Bharat Technology, Banitabla, Uluberia, Howrah, 711316, India. bishalamlan31@gmail.com., Debnath B; Department of Pharmaceutical Technology, Bharat Technology, Banitabla, Uluberia, Howrah, 711316, India. biplab.d86@gmail.com., Patel A; UMU School of Pharmacy, Usha Martin University, at Village Narayansoso, Near Angara Block Office, Ranchi - Purulia Highway, Angara, Ranchi, Jharkhand, 835103, India., Das J; School of Pharmaceutical Sciences, Lovely Professional University, 144411, Phagwara, India., Taj T; Department of Pharmacology, Yenepoya Pharmacy College and Research Centre, Yenepoya (Deemed to Be) University, Mangalore, 575018, India.
Source: Journal of computer-aided molecular design [J Comput Aided Mol Des] 2026 Mar 31; Vol. 40 (1). Date of Electronic Publication: 2026 Mar 31.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8710425 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-4951 (Electronic) Linking ISSN: 0920654X NLM ISO Abbreviation: J Comput Aided Mol Des Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-4951
DOI:10.1007/s10822-026-00798-2