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Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand complexes

BACKGROUND: Protein-protein docking for proteins with large conformational changes was analyzed by using interaction fingerprints, one of the scales for measuring similarities among complex structures, utilized especially for searching near-native protein-ligand or protein-protein complex structures...

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Detalles Bibliográficos
Autores principales: Uchikoga, Nobuyuki, Hirokawa, Takatsugu
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873953/
https://www.ncbi.nlm.nih.gov/pubmed/20459766
http://dx.doi.org/10.1186/1471-2105-11-236
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author Uchikoga, Nobuyuki
Hirokawa, Takatsugu
author_facet Uchikoga, Nobuyuki
Hirokawa, Takatsugu
author_sort Uchikoga, Nobuyuki
collection PubMed
description BACKGROUND: Protein-protein docking for proteins with large conformational changes was analyzed by using interaction fingerprints, one of the scales for measuring similarities among complex structures, utilized especially for searching near-native protein-ligand or protein-protein complex structures. Here, we have proposed a combined method for analyzing protein-protein docking by taking large conformational changes into consideration. This combined method consists of ensemble soft docking with multiple protein structures, refinement of complexes, and cluster analysis using interaction fingerprints and energy profiles. RESULTS: To test for the applicability of this combined method, various CaM-ligand complexes were reconstructed from the NMR structures of unbound CaM. For the purpose of reconstruction, we used three known CaM-ligands, namely, the CaM-binding peptides of cyclic nucleotide gateway (CNG), CaM kinase kinase (CaMKK) and the plasma membrane Ca(2+ )ATPase pump (PMCA), and thirty-one structurally diverse CaM conformations. For each ligand, 62000 CaM-ligand complexes were generated in the docking step and the relationship between their energy profiles and structural similarities to the native complex were analyzed using interaction fingerprint and RMSD. Near-native clusters were obtained in the case of CNG and CaMKK. CONCLUSIONS: The interaction fingerprint method discriminated near-native structures better than the RMSD method in cluster analysis. We showed that a combined method that includes the interaction fingerprint is very useful for protein-protein docking analysis of certain cases.
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spelling pubmed-28739532010-05-21 Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand complexes Uchikoga, Nobuyuki Hirokawa, Takatsugu BMC Bioinformatics Research article BACKGROUND: Protein-protein docking for proteins with large conformational changes was analyzed by using interaction fingerprints, one of the scales for measuring similarities among complex structures, utilized especially for searching near-native protein-ligand or protein-protein complex structures. Here, we have proposed a combined method for analyzing protein-protein docking by taking large conformational changes into consideration. This combined method consists of ensemble soft docking with multiple protein structures, refinement of complexes, and cluster analysis using interaction fingerprints and energy profiles. RESULTS: To test for the applicability of this combined method, various CaM-ligand complexes were reconstructed from the NMR structures of unbound CaM. For the purpose of reconstruction, we used three known CaM-ligands, namely, the CaM-binding peptides of cyclic nucleotide gateway (CNG), CaM kinase kinase (CaMKK) and the plasma membrane Ca(2+ )ATPase pump (PMCA), and thirty-one structurally diverse CaM conformations. For each ligand, 62000 CaM-ligand complexes were generated in the docking step and the relationship between their energy profiles and structural similarities to the native complex were analyzed using interaction fingerprint and RMSD. Near-native clusters were obtained in the case of CNG and CaMKK. CONCLUSIONS: The interaction fingerprint method discriminated near-native structures better than the RMSD method in cluster analysis. We showed that a combined method that includes the interaction fingerprint is very useful for protein-protein docking analysis of certain cases. BioMed Central 2010-05-11 /pmc/articles/PMC2873953/ /pubmed/20459766 http://dx.doi.org/10.1186/1471-2105-11-236 Text en Copyright ©2010 Uchikoga and Hirokawa; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
Uchikoga, Nobuyuki
Hirokawa, Takatsugu
Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand complexes
title Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand complexes
title_full Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand complexes
title_fullStr Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand complexes
title_full_unstemmed Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand complexes
title_short Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand complexes
title_sort analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of cam-ligand complexes
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873953/
https://www.ncbi.nlm.nih.gov/pubmed/20459766
http://dx.doi.org/10.1186/1471-2105-11-236
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