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Protein annotation and modelling servers at University College London
The UCL Bioinformatics Group web portal offers several high quality protein structure prediction and function annotation algorithms including PSIPRED, pGenTHREADER, pDomTHREADER, MEMSAT, MetSite, DISOPRED2, DomPred and FFPred for the prediction of secondary structure, protein fold, protein structura...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896093/ https://www.ncbi.nlm.nih.gov/pubmed/20507913 http://dx.doi.org/10.1093/nar/gkq427 |
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author | Buchan, D. W. A. Ward, S. M. Lobley, A. E. Nugent, T. C. O. Bryson, K. Jones, D. T. |
author_facet | Buchan, D. W. A. Ward, S. M. Lobley, A. E. Nugent, T. C. O. Bryson, K. Jones, D. T. |
author_sort | Buchan, D. W. A. |
collection | PubMed |
description | The UCL Bioinformatics Group web portal offers several high quality protein structure prediction and function annotation algorithms including PSIPRED, pGenTHREADER, pDomTHREADER, MEMSAT, MetSite, DISOPRED2, DomPred and FFPred for the prediction of secondary structure, protein fold, protein structural domain, transmembrane helix topology, metal binding sites, regions of protein disorder, protein domain boundaries and protein function, respectively. We also now offer a fully automated 3D modelling pipeline: BioSerf, which performed well in CASP8 and uses a fragment-assembly approach which placed it in the top five servers in the de novo modelling category. The servers are available via the group web site at http://bioinf.cs.ucl.ac.uk/. |
format | Text |
id | pubmed-2896093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28960932010-07-02 Protein annotation and modelling servers at University College London Buchan, D. W. A. Ward, S. M. Lobley, A. E. Nugent, T. C. O. Bryson, K. Jones, D. T. Nucleic Acids Res Articles The UCL Bioinformatics Group web portal offers several high quality protein structure prediction and function annotation algorithms including PSIPRED, pGenTHREADER, pDomTHREADER, MEMSAT, MetSite, DISOPRED2, DomPred and FFPred for the prediction of secondary structure, protein fold, protein structural domain, transmembrane helix topology, metal binding sites, regions of protein disorder, protein domain boundaries and protein function, respectively. We also now offer a fully automated 3D modelling pipeline: BioSerf, which performed well in CASP8 and uses a fragment-assembly approach which placed it in the top five servers in the de novo modelling category. The servers are available via the group web site at http://bioinf.cs.ucl.ac.uk/. Oxford University Press 2010-07-01 2010-05-27 /pmc/articles/PMC2896093/ /pubmed/20507913 http://dx.doi.org/10.1093/nar/gkq427 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Buchan, D. W. A. Ward, S. M. Lobley, A. E. Nugent, T. C. O. Bryson, K. Jones, D. T. Protein annotation and modelling servers at University College London |
title | Protein annotation and modelling servers at University College London |
title_full | Protein annotation and modelling servers at University College London |
title_fullStr | Protein annotation and modelling servers at University College London |
title_full_unstemmed | Protein annotation and modelling servers at University College London |
title_short | Protein annotation and modelling servers at University College London |
title_sort | protein annotation and modelling servers at university college london |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896093/ https://www.ncbi.nlm.nih.gov/pubmed/20507913 http://dx.doi.org/10.1093/nar/gkq427 |
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