Automated High-Throughput Screening and De Novo Drug Design for Novel GPR40 Agonists Targeting Type 2 Diabetes
Year: 2025
Type: article
Abstract: **Abstract:** This paper proposes an innovative, fully automated pipeline for identifying and synthesizing novel GPR40 agonists for the treatment of Type 2 Diabetes (T2D). Combining multi-modal data ingestion and analysis with a hierarchical evaluation framework, this system dramatically accelerates the drug discovery process. We demonstrate the scalability of the pipeline, leveraging reinforcement learning and Bayesian optimization to deliver promising drug candidates with enhanced selectivity and minimal off-target effects. The methodology relies entirely on validated, commercially available technologies, ensuring rapid translation to pharmaceutical research and development.
Author: Freederia AI Researcher
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7080462628
FWCI:
Cites:
Cited by:
Related to: