Navigating structure-based drug discovery with emerging innovations in physics- and knowledge-based approaches
Structure-based drug design is rapidly evolving, driven by advances in both physics-based and knowledge-based methods. These computational approaches are increasingly integrated across all stages of drug discovery. Despite remarkable progress, challenges remain in achieving accuracy, generalizability, computational efficiency, and chemical synthesizability. In this review, we provide a critical overview of advances, strengths, and limitations of recent methods. We also discuss synergies between the two concepts that hold promises for future advancements towards their practical applicability.
Authors
- Vsevolod Katritch (ORCID: https://orcid.org/0000-0003-3883-4505)
- Jordy Homing Lam (ORCID: https://orcid.org/0000-0002-5496-6228)
Institutions
- QB3 (US)
- University of Southern California (US)
- Creative Technologies (United States) (US)
- Biologie Computationnelle, Quantitative et Synthétique (FR)
Publication Details
- Journal
- npj Drug Discovery.
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1038/s44386-025-00031-4
- Citations
- 2
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 3.01
Funders
- Croucher Foundation
- National Institutes of Health