相关实验视频

Updated: May 13, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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普罗斯塔网:一种新的几何向量感知子-图形神经网络算法,用于预测单点和多点突变中的蛋白质稳定性,并进行实验验证

Tianjian Liang1, Ze-Yu Sun1, Rieko Ishima2

  • 1Department of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, and Pharmacometrics and System Pharmacology PharmacoAnalytics, School of Pharmacy, National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, PA 15261, USA.

Research (Washington, D.C.)
|April 16, 2025
PubMed
概括

深度学习框架ProstaNet准确预测突变导致的蛋白质稳定性变化. 它在单点和多点突变方面表现优于现有的方法,有助于蛋白质工程和药物开发.

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