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