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Optimised amino acid specific weighting factors for unbound protein docking

BACKGROUND: One of the most challenging aspects of protein-protein docking is the inclusion of flexibility into the docking procedure. We developed a postfilter where the grid-representation of proteins for docking is extended by an optimised weighting factor for each amino acid. RESULTS: For up to...

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Detalles Bibliográficos
Autores principales: Heuser, Philipp, Schomburg, Dietmar
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1534072/
https://www.ncbi.nlm.nih.gov/pubmed/16842615
http://dx.doi.org/10.1186/1471-2105-7-344
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author Heuser, Philipp
Schomburg, Dietmar
author_facet Heuser, Philipp
Schomburg, Dietmar
author_sort Heuser, Philipp
collection PubMed
description BACKGROUND: One of the most challenging aspects of protein-protein docking is the inclusion of flexibility into the docking procedure. We developed a postfilter where the grid-representation of proteins for docking is extended by an optimised weighting factor for each amino acid. RESULTS: For up to 86% of the evaluated complexes a near-native structure was within the top 5% of the ranked prediction output. The weighting factors obtained by the optimisation procedure correlate to a certain extent with the flexibility of the amino acids, their hydrophobicity and with their propensity to be in the interface. CONCLUSION: Use of the optimised amino acid specific parameters yields a strong increase of near-native structures on the first ranks of the prediction.
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spelling pubmed-15340722006-08-09 Optimised amino acid specific weighting factors for unbound protein docking Heuser, Philipp Schomburg, Dietmar BMC Bioinformatics Research Article BACKGROUND: One of the most challenging aspects of protein-protein docking is the inclusion of flexibility into the docking procedure. We developed a postfilter where the grid-representation of proteins for docking is extended by an optimised weighting factor for each amino acid. RESULTS: For up to 86% of the evaluated complexes a near-native structure was within the top 5% of the ranked prediction output. The weighting factors obtained by the optimisation procedure correlate to a certain extent with the flexibility of the amino acids, their hydrophobicity and with their propensity to be in the interface. CONCLUSION: Use of the optimised amino acid specific parameters yields a strong increase of near-native structures on the first ranks of the prediction. BioMed Central 2006-07-14 /pmc/articles/PMC1534072/ /pubmed/16842615 http://dx.doi.org/10.1186/1471-2105-7-344 Text en Copyright © 2006 Heuser and Schomburg; 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
Heuser, Philipp
Schomburg, Dietmar
Optimised amino acid specific weighting factors for unbound protein docking
title Optimised amino acid specific weighting factors for unbound protein docking
title_full Optimised amino acid specific weighting factors for unbound protein docking
title_fullStr Optimised amino acid specific weighting factors for unbound protein docking
title_full_unstemmed Optimised amino acid specific weighting factors for unbound protein docking
title_short Optimised amino acid specific weighting factors for unbound protein docking
title_sort optimised amino acid specific weighting factors for unbound protein docking
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1534072/
https://www.ncbi.nlm.nih.gov/pubmed/16842615
http://dx.doi.org/10.1186/1471-2105-7-344
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