Workflow
胆汁酸代谢酶
icon
Search documents
今年第5篇Cell、Nature、Science正刊!姜长涛团队最新Cell论文,利用AI工具,挖掘出超60万种胆汁酸代谢酶
生物世界· 2025-08-08 04:04
Core Viewpoint - The article discusses the significant role of bile acids produced by gut microbiota in regulating host health and disease, highlighting a recent study that identifies gut microbial bile acid metabolic enzymes using an AI-assisted pipeline [2][3]. Group 1: Research Development - The research team developed an AI-assisted workflow named BEAUT, predicting over 600,000 candidate bile acid metabolic enzymes and discovering the first bile acid with unique skeletal modifications, 3-acetoDCA, and its synthesizing enzyme, ADS [3][7]. - The study reveals that 3-acetoDCA is widely present in the population and can regulate gut microbiota composition by increasing the abundance of Lactobacillus at physiological concentrations [8][12]. Group 2: Methodology and Findings - The study addresses the gap in identifying bile acid biosynthetic pathways in bacteria, with fewer than 10 enzymes characterized, which limits the development of engineered bacteria and targeted interventions for related diseases [5]. - BEAUT utilizes a protein language model to classify bile acid metabolic enzymes from metagenomic data, learning from known enzyme sequences to identify those capable of modifying bile acids [6][10]. Group 3: Implications and Future Directions - The application of BEAUT and the identification of previously unreported bile acid metabolic enzymes significantly expand the understanding of microbial bile acid metabolism and chemical diversity [10]. - This research provides a top-down approach to studying microbial-derived metabolites, offering a scalable framework for investigating other microbial metabolic enzymes [10].