基于PDFL的机器学习来预测蛋白质-连接物结合的亲和力

Mushal Zia1, Benjamin Jones1, Hongsong Feng1

  • 1Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States.

概括

我们介绍了一种新方法,持久定向旗拉普拉西安 (PDFL),用于分析生物分子网络中的定向相互作用. PDFL提高了蛋白质-联体结合亲和力的预测,有助于药物发现.

相关概念视频

Ligand Binding Sites02:40

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Protein-protein Interfaces02:04

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The Equilibrium Binding Constant and Binding Strength02:18

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Ligand Binding and Linkage00:49

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Protein Organization01:24

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