The integration of AI in fragment-based lead discovery and medicinal chemistry – an interview with professor György M Keserű

Expert Opinion on Drug Discovery 2026

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Authors: György Miklós Keserű
DOI: 10.1080/17460441.2026.2638054
Cited by: 0
References: 6

Abstract

Question 1: Your research emphasizes Fragment-Based Lead Discovery (FBLD) as a key approach in drug design. How do you see AI/ML technologies enhancing FBLD methodologies, particularly in addressin...

Fields of Study & Subjects

Computational Drug Discovery Methods Machine Learning in Materials Science vaccines and immunoinformatics approaches

Publication details

Journal / source
Expert Opinion on Drug Discovery
Volume
21
Issue
4
Pages
437–439
Publication date
6 March 2026
Language
EN