발행물
컨퍼런스
Artificial Intelligence for Natural Product Drug Discovery
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Pan-reactome analysis of 242 Streptomyces strains using genome-scale metabolic models
Genome-scale metabolic modeling and machine learning for drug discovery and development
High-quality and high-throughput prediction of enzyme commission (EC) numbers using machine learning
Predicting drug interactions from molecular structures using machine learning
ACS Fall 2021
Enhanced production of a natural blue pigment indigoidine as sustainable fabric dyes using metabolically engineered Corynebacterium glutamicum