Energy‐based graph convolutional networks for scoring protein docking models
Author:
Affiliation:
1. Department of Electrical and Computer EngineeringTexas A&M University College Station Texas
2. TEES‐AgriLife Center for Bioinformatics and Genomic Systems EngineeringTexas A&M University College Station Texas
Funder
National Institutes of Health
Publisher
Wiley
Subject
Molecular Biology,Biochemistry,Structural Biology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/prot.25888
Reference38 articles.
1. Interactome3D: adding structural details to protein networks
2. What method to use for protein–protein docking?
3. Assessment of the assessment: Evaluation of the model quality estimates in CASP10
4. DeepQA: improving the estimation of single protein model quality with deep belief networks
5. Random Forest-Based Protein Model Quality Assessment (RFMQA) Using Structural Features and Potential Energy Terms
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