{"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 - 2025-10-11","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/a5b18129\"></iframe>","width":"100%","height":180,"duration":188,"description":"科研喵使用ai读文献，祝你效率百倍，访问labcat.com.cn下载。本期播客关注发表在Accounts of Chemical Research（IF: 16.4）上的重要论文\"On Free Energy Calculations in Drug Discovery\"。这项研究深入探讨了药物发现中结合自由能计算的最新进展与挑战，重点比较了化学转化和基于路径两类增强采样技术。研究发现，尽管化学转化方法在制药行业广泛应用，但基于路径的方法在预测绝对结合自由能和提供结合机制方面具有独特优势，特别是与机器学习结合时效果显著。这项工作为优化先导化合物和设计新型疗法提供了重要理论指导，是计算药物设计领域的重要突破。","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}