Exploring the potential of template-based modelling.

MOTIVATION: Template-based modelling can approximate the unknown structure of a target protein using an homologous template structure. The core of the resulting prediction then comprises the structural regions conserved between template and target. Target prediction could be improved by rigidly rep...

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Main Authors: Lance, B, Deane, C, Wood, G
Format: Journal article
Language:English
Published: 2010
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author Lance, B
Deane, C
Wood, G
author_facet Lance, B
Deane, C
Wood, G
author_sort Lance, B
collection OXFORD
description MOTIVATION: Template-based modelling can approximate the unknown structure of a target protein using an homologous template structure. The core of the resulting prediction then comprises the structural regions conserved between template and target. Target prediction could be improved by rigidly repositioning such single template, structurally conserved fragment regions. The purpose of this article is to quantify the extent to which such improvements are possible and to relate this extent to properties of the target, the template and their alignment. RESULTS: The improvement in accuracy achievable when rigid fragments from a single template are optimally positioned was calculated using structure pairs from the HOMSTRAD database, as well as CASP7 and CASP8 target/best template pairs. Over the union of the structurally conserved regions, improvements of 0.7 A in root mean squared deviation (RMSD) and 6% in GDT_HA were commonly observed. A generalized linear model revealed that the extent to which a template can be improved can be predicted using four variables. Templates with the greatest scope for improvement tend to have relatively more fragments, shorter fragments, higher percentage of helical secondary structure and lower sequence identity. Optimal positioning of the template fragments offers the potential for improving loop modelling. These results demonstrate that substantial improvement could be made on many templates if the conserved fragments were to be optimally positioned. They also provide a basis for identifying templates for which modification of fragment positions may yield such improvements.
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spelling oxford-uuid:8c29270d-cbcc-4596-9474-967656c27f762022-03-26T22:42:53ZExploring the potential of template-based modelling.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8c29270d-cbcc-4596-9474-967656c27f76EnglishSymplectic Elements at Oxford2010Lance, BDeane, CWood, G MOTIVATION: Template-based modelling can approximate the unknown structure of a target protein using an homologous template structure. The core of the resulting prediction then comprises the structural regions conserved between template and target. Target prediction could be improved by rigidly repositioning such single template, structurally conserved fragment regions. The purpose of this article is to quantify the extent to which such improvements are possible and to relate this extent to properties of the target, the template and their alignment. RESULTS: The improvement in accuracy achievable when rigid fragments from a single template are optimally positioned was calculated using structure pairs from the HOMSTRAD database, as well as CASP7 and CASP8 target/best template pairs. Over the union of the structurally conserved regions, improvements of 0.7 A in root mean squared deviation (RMSD) and 6% in GDT_HA were commonly observed. A generalized linear model revealed that the extent to which a template can be improved can be predicted using four variables. Templates with the greatest scope for improvement tend to have relatively more fragments, shorter fragments, higher percentage of helical secondary structure and lower sequence identity. Optimal positioning of the template fragments offers the potential for improving loop modelling. These results demonstrate that substantial improvement could be made on many templates if the conserved fragments were to be optimally positioned. They also provide a basis for identifying templates for which modification of fragment positions may yield such improvements.
spellingShingle Lance, B
Deane, C
Wood, G
Exploring the potential of template-based modelling.
title Exploring the potential of template-based modelling.
title_full Exploring the potential of template-based modelling.
title_fullStr Exploring the potential of template-based modelling.
title_full_unstemmed Exploring the potential of template-based modelling.
title_short Exploring the potential of template-based modelling.
title_sort exploring the potential of template based modelling
work_keys_str_mv AT lanceb exploringthepotentialoftemplatebasedmodelling
AT deanec exploringthepotentialoftemplatebasedmodelling
AT woodg exploringthepotentialoftemplatebasedmodelling