Integrated Artificial Intelligence and Physics-Based Methods for the De novo Design of Spleen Tyrosine Kinase (SYK) Inhibitors
In conclusion, the integration of AI and physics-based methods successfully developed promising SYK inhibitors with significant potential. The molecules reported could be vital anticancer agents subjected to experimental validation.
Authors
- Pritee Chunarkar Patil (ORCID: https://orcid.org/0000-0002-7705-8484)
- Shovonlal Bhowmick (ORCID: https://orcid.org/0000-0002-8379-8286)
- Souvik Maiti (ORCID: https://orcid.org/0000-0001-9897-1419)
- Rupesh V. Chikhale (ORCID: https://orcid.org/0000-0001-5622-3981)
- Hemchandra Deka (ORCID: https://orcid.org/0000-0002-7681-7661)
- Heba Taha M. Abdelghani (ORCID: https://orcid.org/0009-0008-2903-6732)
- Monishka Battula
- Atul Darasing Pawar
Institutions
- King Saud University (SA)
- Biotech Park (IN)
- University College London (GB)
- Bharati Vidyapeeth (Deemed to be University) (IN)
- Silicon Labs (United States) (US)
Publication Details
- Journal
- Medicinal Chemistry
- Published
- 2025-03-16
- DOI
- https://doi.org/10.2174/0115734064333216250110034315
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50