Towards a better understanding of the specificity of protein-protein interaction
Language English Country Great Britain, England Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
23108620
DOI
10.1002/jmr.2219
Knihovny.cz E-resources
- MeSH
- Amino Acids chemistry MeSH
- Databases, Protein MeSH
- Fungi chemistry MeSH
- Protein Interaction Domains and Motifs MeSH
- Kinetics MeSH
- Crystallography, X-Ray MeSH
- Humans MeSH
- Protein Interaction Mapping * MeSH
- Prokaryotic Cells chemistry MeSH
- Proteins chemistry MeSH
- Plants chemistry MeSH
- Protein Structure, Secondary MeSH
- Static Electricity MeSH
- Thermodynamics MeSH
- Protein Binding MeSH
- Binding Sites MeSH
- Viruses chemistry MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Amino Acids MeSH
- Proteins MeSH
In order to predict interaction interface for proteins, it is crucial to identify their characteristic features controlling the interaction process. We present analysis of 69 crystal structures of dimer protein complexes that provides a basis for reasonable description of the phenomenon. Interaction interfaces of two proteins at amino acids level were localized and described in terms of their chemical composition, binding preferences, and residue interaction energies utilizing Amber empirical force field. The characteristic properties of the interaction interface were compared against set of corresponding intramolecular binding parameters for amino acids in proteins. It has been found that geometrically distinct clusters of large hydrophobic amino acids (leucine, valine, isoleucine, and phenylalanine) as well as polar tyrosines and charged arginines are signatures of the protein-protein interaction interface. At some extent, we can generalize that protein-protein interaction (seen through interaction between amino acids) is very similar to the intramolecular arrangement of amino acids, although intermolecular pairs have generally lower interaction energies with their neighbors. Interfaces, therefore, possess high degree of complementarity suggesting also high selectivity of the process. The utilization of our results can improve interface prediction algorithms and improve our understanding of protein-protein recognition.
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