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Updated: Jun 21, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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LVPocket:集成的3D全球-本地信息,以预测蛋白质结合口袋,并转移蛋白质结构分类的学习

Ruifeng Zhou1, Jing Fan1, Sishu Li1

  • 1School of Science, China Pharmaceutical University, Nanjing, 210009, Jiangsu, People's Republic of China.

Journal of cheminformatics
|July 7, 2024
PubMed
概括

一种新的深度学习方法LVPocket通过使用变压器编码器集成本地和全球结构信息来改善蛋白质结合口袋预测. 转移学习进一步提高了不同蛋白质折叠结构类的准确性.

关键词:
蛋白质结合口袋的预测蛋白质结构分类 蛋白质结构分类转移学习转移学习变压器编码器编码器

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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