New Knowledge from Old: <it>In silico </it>discovery of novel protein domains in <it>Streptomyces coelicolor</it>

<p>Abstract</p> <p>Background</p> <p><it>Streptomyces coelicolor </it>has long been considered a remarkable bacterium with a complex life-cycle, ubiquitous environmental distribution, linear chromosomes and plasmids, and a huge range of pharmaceutically usef...

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Main Authors: Bateman Alex, Bentley Stephen, Yeats Corin
Format: Article
Language:English
Published: BMC 2003-02-01
Series:BMC Microbiology
Online Access:http://www.biomedcentral.com/1471-2180/3/3
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author Bateman Alex
Bentley Stephen
Yeats Corin
author_facet Bateman Alex
Bentley Stephen
Yeats Corin
author_sort Bateman Alex
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p><it>Streptomyces coelicolor </it>has long been considered a remarkable bacterium with a complex life-cycle, ubiquitous environmental distribution, linear chromosomes and plasmids, and a huge range of pharmaceutically useful secondary metabolites. Completion of the genome sequence demonstrated that this diversity carried through to the genetic level, with over 7000 genes identified. We sought to expand our understanding of this organism at the molecular level through identification and annotation of novel protein domains. Protein domains are the evolutionary conserved units from which proteins are formed.</p> <p>Results</p> <p>Two automated methods were employed to rapidly generate an optimised set of targets, which were subsequently analysed manually. A final set of 37 domains or structural repeats, represented 204 times in the genome, was developed. Using these families enabled us to correlate items of information from many different resources. Several immediately enhance our understanding both of <it>S. coelicolor </it>and also general bacterial molecular mechanisms, including cell wall biosynthesis regulation and streptomycete telomere maintenance.</p> <p>Discussion</p> <p>Delineation of protein domain families enables detailed analysis of protein function, as well as identification of likely regions or residues of particular interest. Hence this kind of prior approach can increase the rate of discovery in the laboratory. Furthermore we demonstrate that using this type of <it>in silico </it>method it is possible to fairly rapidly generate new biological information from previously uncorrelated data.</p>
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spelling doaj.art-90d9a37294ee44219a27ef3ccadd412c2022-12-21T18:28:56ZengBMCBMC Microbiology1471-21802003-02-0131310.1186/1471-2180-3-3New Knowledge from Old: <it>In silico </it>discovery of novel protein domains in <it>Streptomyces coelicolor</it>Bateman AlexBentley StephenYeats Corin<p>Abstract</p> <p>Background</p> <p><it>Streptomyces coelicolor </it>has long been considered a remarkable bacterium with a complex life-cycle, ubiquitous environmental distribution, linear chromosomes and plasmids, and a huge range of pharmaceutically useful secondary metabolites. Completion of the genome sequence demonstrated that this diversity carried through to the genetic level, with over 7000 genes identified. We sought to expand our understanding of this organism at the molecular level through identification and annotation of novel protein domains. Protein domains are the evolutionary conserved units from which proteins are formed.</p> <p>Results</p> <p>Two automated methods were employed to rapidly generate an optimised set of targets, which were subsequently analysed manually. A final set of 37 domains or structural repeats, represented 204 times in the genome, was developed. Using these families enabled us to correlate items of information from many different resources. Several immediately enhance our understanding both of <it>S. coelicolor </it>and also general bacterial molecular mechanisms, including cell wall biosynthesis regulation and streptomycete telomere maintenance.</p> <p>Discussion</p> <p>Delineation of protein domain families enables detailed analysis of protein function, as well as identification of likely regions or residues of particular interest. Hence this kind of prior approach can increase the rate of discovery in the laboratory. Furthermore we demonstrate that using this type of <it>in silico </it>method it is possible to fairly rapidly generate new biological information from previously uncorrelated data.</p>http://www.biomedcentral.com/1471-2180/3/3
spellingShingle Bateman Alex
Bentley Stephen
Yeats Corin
New Knowledge from Old: <it>In silico </it>discovery of novel protein domains in <it>Streptomyces coelicolor</it>
BMC Microbiology
title New Knowledge from Old: <it>In silico </it>discovery of novel protein domains in <it>Streptomyces coelicolor</it>
title_full New Knowledge from Old: <it>In silico </it>discovery of novel protein domains in <it>Streptomyces coelicolor</it>
title_fullStr New Knowledge from Old: <it>In silico </it>discovery of novel protein domains in <it>Streptomyces coelicolor</it>
title_full_unstemmed New Knowledge from Old: <it>In silico </it>discovery of novel protein domains in <it>Streptomyces coelicolor</it>
title_short New Knowledge from Old: <it>In silico </it>discovery of novel protein domains in <it>Streptomyces coelicolor</it>
title_sort new knowledge from old it in silico it discovery of novel protein domains in it streptomyces coelicolor it
url http://www.biomedcentral.com/1471-2180/3/3
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AT bentleystephen newknowledgefromolditinsilicoitdiscoveryofnovelproteindomainsinitstreptomycescoelicolorit
AT yeatscorin newknowledgefromolditinsilicoitdiscoveryofnovelproteindomainsinitstreptomycescoelicolorit