Article

SigSpace: an LLM-based agent for drug response signature interpretation

2025-12-05

Abstract excerpt

Agent systems powered by large language models (LLMs) are increasingly applied in computational biology to automate analysis, integrate data, and accelerate discovery. Here, we investigate the capacity of LLM-driven agents to interpret transcriptional response signatures of drug perturbations in cancer cell lines, a task central to understanding drug mechanisms of action (MoAs) and supporting cancer drug discovery...

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Literature Corpus work: cb8cc846-2799-5704-b7da-bf3b8a492b9c
DOI: 10.64898/2025.12.02.691945

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