SpatialPPI: Three-dimensional space protein-protein interaction prediction with AlphaFold Multimer.

ABSTRACT: 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 predicting protein interactions. This study focuses on the use of deep neural networks, specifically to analyze protein complex

SUBMITTER: Hu W 

PROVIDER: S-EPMC10966450 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature