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Updated: Jan 12, 2026

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

Published on: January 26, 2024

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评估数据分区策略,准确预测突变蛋白质中蛋白质 - 配体结合的自由能量变化

Liangxu Xie1, Guoming Bao1, Dawei Zhang1

  • 1Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology, Changzhou 213001, China.

Computational and structural biotechnology journal
|October 31, 2025
PubMed
概括

精确预测蛋白质 - 配体结合能量,对于药物设计至关重要,是通过一个新的查询对对学习框架改进. 该方法利用已知状态来增强未知状态的预测,克服机器学习模型中随机或基于UniProt的数据分割的局限性.

关键词:
数据分区策略数据分区策略突变蛋白质是一种突变蛋白质.蛋白质语言模型的模型相对自由的能量是一种相对自由的能量.

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