Optimised amino acid specific weighting factors for unbound protein docking

<p>Abstract</p> <p>Background</p> <p>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 we...

Full description

Bibliographic Details
Main Authors: Schomburg Dietmar, Heuser Philipp
Format: Article
Language:English
Published: BMC 2006-07-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/7/344
id doaj-33fc66b79b1a404e9d7c1533b2f33d09
record_format Article
spelling doaj-33fc66b79b1a404e9d7c1533b2f33d092020-11-24T21:53:05ZengBMCBMC Bioinformatics1471-21052006-07-017134410.1186/1471-2105-7-344Optimised amino acid specific weighting factors for unbound protein dockingSchomburg DietmarHeuser Philipp<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>Use of the optimised amino acid specific parameters yields a strong increase of near-native structures on the first ranks of the prediction.</p> http://www.biomedcentral.com/1471-2105/7/344
collection DOAJ
language English
format Article
sources DOAJ
author Schomburg Dietmar
Heuser Philipp
spellingShingle Schomburg Dietmar
Heuser Philipp
Optimised amino acid specific weighting factors for unbound protein docking
BMC Bioinformatics
author_facet Schomburg Dietmar
Heuser Philipp
author_sort Schomburg Dietmar
title Optimised amino acid specific weighting factors for unbound protein docking
title_short 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_sort optimised amino acid specific weighting factors for unbound protein docking
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2006-07-01
description <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>Use of the optimised amino acid specific parameters yields a strong increase of near-native structures on the first ranks of the prediction.</p>
url http://www.biomedcentral.com/1471-2105/7/344
work_keys_str_mv AT schomburgdietmar optimisedaminoacidspecificweightingfactorsforunboundproteindocking
AT heuserphilipp optimisedaminoacidspecificweightingfactorsforunboundproteindocking
_version_ 1725872997899698176