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Updated: Jan 17, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Disobind:一个基于序列的,取决于合作伙伴的联系地图和界面残留预测器,用于内在无序的区域.

Kartik Majila1, Varun Ullanat1, Shruthi Viswanath1

  • 1National Center for Biological Sciences, Tata Institute of Fundamental Research, Bangalore 560065, Karnataka, India.

Cell systems
|January 14, 2026
PubMed
概括

新的深度学习工具Disobind只使用序列准确地预测内在无序蛋白 (IDP) 相互作用. 它的性能优于现有的方法,有助于理解复杂生物系统中的IDP功能.

关键词:
DL DL 是一个字.国内发展计划 (IDP) 是一个.这是一个IDR IDR.深度学习是一种深度学习.本质上是无序的蛋白质.本质上是无序的地区.在pLMs中,我们可以看到蛋白质语言模型蛋白质结构 蛋白质结构

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