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Dynamics of domain coverage of the protein sequence universe
BACKGROUND: The currently known protein sequence space consists of millions of sequences in public databases and is rapidly expanding. Assigning sequences to families leads to a better understanding of protein function and the nature of the protein universe. However, a large portion of the current p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3557196/ https://www.ncbi.nlm.nih.gov/pubmed/23157439 http://dx.doi.org/10.1186/1471-2164-13-634 |
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author | Rekapalli, Bhanu Wuichet, Kristin Peterson, Gregory D Zhulin, Igor B |
author_facet | Rekapalli, Bhanu Wuichet, Kristin Peterson, Gregory D Zhulin, Igor B |
author_sort | Rekapalli, Bhanu |
collection | PubMed |
description | BACKGROUND: The currently known protein sequence space consists of millions of sequences in public databases and is rapidly expanding. Assigning sequences to families leads to a better understanding of protein function and the nature of the protein universe. However, a large portion of the current protein space remains unassigned and is referred to as its “dark matter”. RESULTS: Here we suggest that true size of “dark matter” is much larger than stated by current definitions. We propose an approach to reducing the size of “dark matter” by identifying and subtracting regions in protein sequences that are not likely to contain any domain. CONCLUSIONS: Recent improvements in computational domain modeling result in a decrease, albeit slowly, in the relative size of “dark matter”; however, its absolute size increases substantially with the growth of sequence data. |
format | Online Article Text |
id | pubmed-3557196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35571962013-01-31 Dynamics of domain coverage of the protein sequence universe Rekapalli, Bhanu Wuichet, Kristin Peterson, Gregory D Zhulin, Igor B BMC Genomics Research Article BACKGROUND: The currently known protein sequence space consists of millions of sequences in public databases and is rapidly expanding. Assigning sequences to families leads to a better understanding of protein function and the nature of the protein universe. However, a large portion of the current protein space remains unassigned and is referred to as its “dark matter”. RESULTS: Here we suggest that true size of “dark matter” is much larger than stated by current definitions. We propose an approach to reducing the size of “dark matter” by identifying and subtracting regions in protein sequences that are not likely to contain any domain. CONCLUSIONS: Recent improvements in computational domain modeling result in a decrease, albeit slowly, in the relative size of “dark matter”; however, its absolute size increases substantially with the growth of sequence data. BioMed Central 2012-11-16 /pmc/articles/PMC3557196/ /pubmed/23157439 http://dx.doi.org/10.1186/1471-2164-13-634 Text en Copyright ©2012 Rekapalli et al.; 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 Rekapalli, Bhanu Wuichet, Kristin Peterson, Gregory D Zhulin, Igor B Dynamics of domain coverage of the protein sequence universe |
title | Dynamics of domain coverage of the protein sequence universe |
title_full | Dynamics of domain coverage of the protein sequence universe |
title_fullStr | Dynamics of domain coverage of the protein sequence universe |
title_full_unstemmed | Dynamics of domain coverage of the protein sequence universe |
title_short | Dynamics of domain coverage of the protein sequence universe |
title_sort | dynamics of domain coverage of the protein sequence universe |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3557196/ https://www.ncbi.nlm.nih.gov/pubmed/23157439 http://dx.doi.org/10.1186/1471-2164-13-634 |
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