SpatialPPI: Three-dimensional space protein-protein interaction prediction with AlphaFold Multimer.
作者：
Hu, Wenxing;Ohue, Masahito
作者机构：
Department of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, Kanagawa 226-8501, Japan
语种：
英文
关键词：
AlphaFold,Convolutional Neural Network,Machine Learning,Protein-protein interaction
期刊：
Computational and Structural Biotechnology Journal
ISSN：
2001-0370
年：
2024
卷：
23
页码：
1214-1225
摘要：
Rapid advancements in protein sequencing technology have resulted in gaps between proteins with identified sequences and those with mapped structures. Although sequence-based predictions offer insights, they can be incomplete due to the absence of structural details. Conversely, structure-based methods face challenges with respect to newly sequenced proteins. The AlphaFold Multimer has remarkable accuracy in predicting the structure of protein complexes. However, it cannot distinguish whether the input protein sequences can interact. Nonetheless, by analyzing the information in the models predicted by the AlphaFold Multimer, we propose a highly accurate method for predict...
