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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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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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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. |
format | Text |
id | pubmed-1534072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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