Protein docking model evaluation by 3D deep convolutional neural networks.

ABSTRACT:

Motivation

Many important cellular processes involve physical interactions of proteins. Therefore, determining protein quaternary structures provide critical insights for understanding molecular mechanisms of functions of the complexes. To complement experimental methods, many computational methods have been developed to predict structures of protein complexes. One of the challenges in computational protein complex structure prediction is to identify near-native models from a large pool of generated models.

Results

We developed a convolutional deep neural network-based approach named DOcking decoy selection with Voxel-based deep neural nEtwork (DOVE) for evaluating protein docking models. To evaluate a protein docking model, DOVE scans the protein-protein interface of the mo

SUBMITTER: Wang X 

PROVIDER: S-EPMC7141855 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature