{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"萌喵读文献-生物信息学","title":"今日生物信息学最高分文献 - 2025-11-09","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/6f641250\"></iframe>","width":"100%","height":180,"duration":205,"description":"科研喵使用ai读文献，祝你效率百倍，访问labcat.com.cn下载。本期关注发表在《Nucleic acids research》(IF: 16.6)上的研究\"BRENDA in 2026: a Global Core Biodata Resource for functional enzyme and metabolic data within the DSMZ Digital Diversity\"。这项研究介绍了近40年来最全面的酶和配体数据库BRENDA的最新发展，现已成为ELIXIR核心数据资源。数据库现包含约580万个数据点，涵盖11万余种酶，并引入了知识图谱和以基因为中心的搜索界面。这些重大更新显著提升了数据互操作性和分析能力，使研究人员能够更高效地探索酶功能和代谢途径，为药物开发和疾病研究提供了宝贵资源。","thumbnail_url":"https://img.transistorcdn.com/38WU46uKrju37cyiLrKcVSktFL4vxBb_oTgbpM_2CRw/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zOGU2/ZmEyYWE0MDZkNGFj/NWMzNGY5ZmU4YTk0/ZTBlNS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}