Agentic AI for Computational Pharmacology: Orchestrating Molecular Search, Evidence Appraisal, Mechanistic Reasoning, and Candidate Prioritization
Year: 2026
Type: article
Abstract: Agentic artificial intelligence is emerging as a potential approach for coordinating complex computational research workflows that require multiple searches, tools, reasoning stages, and review checkpoints. In computational pharmacology, such coordination may support the integration of molecular search, literature retrieval, evidence appraisal, target and pathway interpretation, safety assessment, and candidate prioritization. This article proposes a conceptual agentic AI framework designed to o
DOI: 10.51847/5tffxnr14x
Authors: Lina Hassan, Omar Khalaf, Reem Jaber
Institution: University of Jordan
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7169713276