Author

Qiandi Gao

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#artificial intelligence Preprint Sep 2026

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

This research highlights how ChatT2, designed with this multiagent framework, addresses the challenges faced by general LLMs in terms of understanding limited, specialized corpora and complex biological information and provides both experts and novices with a valuable tool for exploring various NPs of interest.

Yi-Han Wang, Qian-Di Gao, Yi Zhuang et al. · 0 citations

Open access Dec 2025

DeepAden: an explainable machine learning method for predicting the substrate specificity of nonribosomal peptide synthetases

DeepAden achieves competitive performance compared with state-of-the-art tools on a benchmark dataset, and enabled the identification of two Streptomyces NRPS gene clusters through accurate A-domain substrates specificity predictions.

Jiaquan Huang, Liangjun Ge, Yaxin Wu et al. · bioRxiv · 0 citations