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GWYRE: A Resource for Mapping Variants onto Experimental and Modeled Structures of Human Protein Complexes
Sukhaswami Malladi1, Harold R Powell2, Alessia David2
1Computational Biology Program, The University of Kansas, Lawrence, KS 66047, USA.
Journal of Molecular Biology
|June 6, 2022
Summary
The Genome Wide PhYRE (GWYRE) project advances protein modeling for protein-protein interactions and genetic variation. It provides a public resource for structural characterization of the human interactome and variant locations.
Area of Science:
- Structural biology
- Bioinformatics
- Genomics
Background:
- Protein structure and interaction modeling is rapidly advancing.
- Increasing availability of structural data from protein interaction databases and the Protein Data Bank fuels progress.
- Understanding physical principles of protein structure and function is crucial for accurate modeling.
Purpose of the Study:
- To advance and apply powerful modeling methodologies for protein-protein interactions and genetic variation.
- To develop a comprehensive public resource for structural characterization of the human interactome.
- To facilitate understanding of protein interaction principles and structure/function relationships.
Main Methods:
- Integrating knowledge-based tertiary structure prediction (Phyre2).
- Utilizing template-based docking for quaternary structure prediction via full-structure alignment.
- Generating models for binary protein complexes.
Main Results:
- Development of the GWYRE (Genome Wide PhYRE) resource.
- Incorporation of predictions into a public resource for human interactome and genetic variant structural characterization.
- Creation of models for binary protein complexes.
Conclusions:
- The GWYRE resource enhances the understanding of protein interaction principles.
- It aids in comprehending protein structure/function relationships.
- The resource is publicly available at http://www.gwyre.org for broader scientific use.
Keywords:
amino acid mutationsgenome-wide modelinggenotype to phenotypeprotein dockingstructure predictionMore Related Videos
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