PCRPi-DB: a database of computationally annotated hot spots in protein interfaces
Joan Segura1, Narcis Fernandez-Fuentes
1Section of Experimental Therapeutics, Leeds Institute of Molecular Medicine, St James's University Hospital, University of Leeds, Leeds LS9 7TF, UK.
Nucleic Acids Research
|November 25, 2010
Summary
Identifying protein hot spots, crucial for binding energy, is key for drug discovery. The Presaging Critical Residues in Protein Interfaces Database (PCRPi-DB) offers a public resource of computationally annotated hot spots from known protein structures.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Biology
Background:
- Protein-protein interactions mediate essential cellular functions.
- Protein interfaces, though large, contain small 'hot spot' regions that dominate binding energy.
- Accurate identification of hot spots is vital for drug discovery and protein engineering.
Purpose of the Study:
- To introduce the Presaging Critical Residues in Protein Interfaces Database (PCRPi-DB).
- To provide a publicly accessible repository of computationally identified protein hot spots.
Main Methods:
- Development of a novel, highly accurate computational method for annotating protein hot spots.
- Curating and archiving hot spot data for protein complexes with known 3D structures.
Main Results:
- Establishment of PCRPi-DB, a comprehensive database of annotated protein hot spots.
- The database includes computationally derived hot spot information based on a validated method.
Conclusions:
- PCRPi-DB serves as a valuable resource for researchers in drug discovery and protein design.
- The database facilitates the study of protein-protein interactions by providing access to critical binding regions.
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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01:49Conserved Binding Sites
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