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Human-supervised Agentic AI for Hypothesis Generation and Experimental Assistance in Drug Repurposing

2026-04-22

Abstract excerpt

Computational drug repurposing has largely been focused on rapid hypothesis generation, yet real-world applications span a far broader lifecycle, from drug candidate suggestion to designing experiments, analyzing assay data, and iteratively refining candidates. Here, we demonstrate that agentic AI can operate throughout this lifecycle. To this end, we developed RepurAgent, a hierarchical multi-agent AI system comp...

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Literature Corpus work
5ba15687-fb8f-5f86-a5b0-9d0114d79ed3
DOI
10.64898/2026.04.20.719538
Open publication

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Human-supervised Agentic AI for Hypothesis Generation and Experimental Assistance in Drug RepurposingDOI 10.64898/2026.04.20.719538
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