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Mingqian Ma

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#artificial intelligence Preprint Nov 2026

RIVER: Evidence-guided multi-agent retrieval for enzyme--reaction discovery

Enzyme function annotation and the identification of candidate enzymes for a given reaction are essential steps in connecting genomic information to biochemical reaction networks. However, existing methods rely on sequence or structural similarity or on training with known enzyme--reaction pairs, making it difficult to...

Yi-Fan Chang, Yun-Ze Li, Fei-Fei Jiang et al. · 0 citations
Open access Jul 2026

CENO: A Genome-Scale World Model for Evolutionary Sequence Interpretation and Programmable Regulatory Design

CENO is introduced, a family of long-context generative genomic world models designed to preserve local DNA grammar while extending usable context to regulatory and chromatin scales and provides a genome-scale sequence world-model framework for sequence interpretation, evolutionary reasoning, gene-scale reconstruction...

Mingqian Ma, Yucheng Wu, Xin Chen et al. · 0 citations

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