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Updated: Jul 19, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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PASSerRank:通过学习排名来预测全位点

Hao Tian1, Sian Xiao1, Xi Jiang2

  • 1Department of Chemistry, Center for Research Computing, Center for Drug Discovery, Design, and Delivery (CD4), Southern Methodist University, Dallas, Texas, USA.

Journal of computational chemistry
|August 10, 2023
PubMed
概括

一个新的学习排名 (LTR) 模型准确地识别了蛋白质中的全位,这对于药物发现至关重要. 这种计算方法显著改善了对这些重要的监管站点的预测.

关键词:
学习如何排名的排名.机器学习是机器学习.蛋白质全ostery 蛋白质全ostery 是一种蛋白质.网络服务器是Web服务器.

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