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Updated: May 11, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

PEPNet:一个双阶段的点云框架,具有层次嵌入和抗原-抗体相互作用建模,用于表位预测

Jiayi Chen1, Guixu Zhang1, Zhijian Xu2,3

  • 1School of Computer Science and Technology, East China Normal University, 3663 Zhongshan North Road, Putuo District, Shanghai 200062, China.

Briefings in bioinformatics
|February 19, 2026
PubMed
概括

PEPNet利用原子级点云来改进表位预测,优于现有方法. 这种新的方法通过保留详细的空间特征来增强抗体-抗原识别,以便更好地设计治疗性抗体.

关键词:
3D点云是一个3D点云.抗原抗体相互作用标本预测预测的预测层次化的嵌入方式预培训策略 预培训策略

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Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...