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ChatT2: An Adaptive Framework for Developing a Large Language Model-Based Agent for Natural Product Domain Research

arXiv · AI, language, vision and robotics · article · Sep 22, 2026 · UTC

Scientific investigations into microbial natural products (NPs) present significant challenges for novices, largely due to the complexity of microbial systems, biochemical diversity, technical skill requirements, and the demands of bioinformatics and data analysis processes. To address these issues, we introduce ChatT2, a large language model (LLM)-based agent that is specifically tailored to the unique characteristics of bacterial type II polyketides. These polyketides form a structurally distinct and therapeutically important NP family. ChatT2 was developed within an autonomous multiagent fr

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