Literature DB >> 18058715

Finding protein-protein interaction patterns by contact map matching.

R C Melo1, C Ribeiro, C S Murray, C J M Veloso, C H da Silveira, G Neshich, W Meira, R L Carceroni, M M Santoro.   

Abstract

We propose a novel method for defining patterns of contacts present in protein-protein complexes. A new use of the traditional contact maps (more frequently used for representation of the intra-chain contacts) is presented for analysis of inter-chain contacts. Using an algorithm based on image processing techniques, we can compare protein-protein interaction maps and also obtain a dissimilarity score between them. The same algorithm used to compare the maps can align the contacts of all the complexes and be helpful in the determination of a pattern of conserved interactions at the interfaces. We present an example for the application of this method by analyzing the pattern of interaction of bovine pancreatic trypsin inhibitors and trypsins, chymotrypsins, a thrombin, a matriptase, and a kallikrein - all classified as serine proteases. We found 20 contacts conserved in trypsins and chymotrypsins and 3 specific ones are present in all the serine protease complexes studied. The method was able to identify important contacts for the protein family studied and the results are in agreement with the literature.

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Year:  2007        PMID: 18058715

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  4 in total

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3.  Improving predictions of protein-protein interfaces by combining amino acid-specific classifiers based on structural and physicochemical descriptors with their weighted neighbor averages.

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Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

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Journal:  BMC Bioinformatics       Date:  2020-04-15       Impact factor: 3.169

  4 in total

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