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Unique function words characterize genomic proteins

Between 2009 and 2016 the number of protein sequences from known species increased 10-fold from 8 million to 85 million. About 80% of these sequences contain at least one region recognized by the conserved domain architecture retrieval tool (CDART) as a sequence motif. Motifs provide clues to biolog...

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Autores principales: Scaiewicz, Andrea, Levitt, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042118/
https://www.ncbi.nlm.nih.gov/pubmed/29895692
http://dx.doi.org/10.1073/pnas.1801182115
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author Scaiewicz, Andrea
Levitt, Michael
author_facet Scaiewicz, Andrea
Levitt, Michael
author_sort Scaiewicz, Andrea
collection PubMed
description Between 2009 and 2016 the number of protein sequences from known species increased 10-fold from 8 million to 85 million. About 80% of these sequences contain at least one region recognized by the conserved domain architecture retrieval tool (CDART) as a sequence motif. Motifs provide clues to biological function but CDART often matches the same region of a protein by two or more profiles. Such synonyms complicate estimates of functional complexity. We do full-linkage clustering of redundant profiles by finding maximum disjoint cliques: Each cluster is replaced by a single representative profile to give what we term a unique function word (UFW). From 2009 to 2016, the number of sequence profiles used by CDART increased by 80%; the number of UFWs increased more slowly by 30%, indicating that the number of UFWs may be saturating. The number of sequences matched by a single UFW (sequences with single domain architectures) increased as slowly as the number of different words, whereas the number of sequences matched by a combination of two or more UFWs in sequences with multiple domain architectures (MDAs) increased at the same rate as the total number of sequences. This combinatorial arrangement of a limited number of UFWs in MDAs accounts for the genomic diversity of protein sequences. Although eukaryotes and prokaryotes use very similar sets of “words” or UFWs (57% shared), the “sentences” (MDAs) are different (1.3% shared).
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spelling pubmed-60421182018-07-13 Unique function words characterize genomic proteins Scaiewicz, Andrea Levitt, Michael Proc Natl Acad Sci U S A Biological Sciences Between 2009 and 2016 the number of protein sequences from known species increased 10-fold from 8 million to 85 million. About 80% of these sequences contain at least one region recognized by the conserved domain architecture retrieval tool (CDART) as a sequence motif. Motifs provide clues to biological function but CDART often matches the same region of a protein by two or more profiles. Such synonyms complicate estimates of functional complexity. We do full-linkage clustering of redundant profiles by finding maximum disjoint cliques: Each cluster is replaced by a single representative profile to give what we term a unique function word (UFW). From 2009 to 2016, the number of sequence profiles used by CDART increased by 80%; the number of UFWs increased more slowly by 30%, indicating that the number of UFWs may be saturating. The number of sequences matched by a single UFW (sequences with single domain architectures) increased as slowly as the number of different words, whereas the number of sequences matched by a combination of two or more UFWs in sequences with multiple domain architectures (MDAs) increased at the same rate as the total number of sequences. This combinatorial arrangement of a limited number of UFWs in MDAs accounts for the genomic diversity of protein sequences. Although eukaryotes and prokaryotes use very similar sets of “words” or UFWs (57% shared), the “sentences” (MDAs) are different (1.3% shared). National Academy of Sciences 2018-06-26 2018-06-12 /pmc/articles/PMC6042118/ /pubmed/29895692 http://dx.doi.org/10.1073/pnas.1801182115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Scaiewicz, Andrea
Levitt, Michael
Unique function words characterize genomic proteins
title Unique function words characterize genomic proteins
title_full Unique function words characterize genomic proteins
title_fullStr Unique function words characterize genomic proteins
title_full_unstemmed Unique function words characterize genomic proteins
title_short Unique function words characterize genomic proteins
title_sort unique function words characterize genomic proteins
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042118/
https://www.ncbi.nlm.nih.gov/pubmed/29895692
http://dx.doi.org/10.1073/pnas.1801182115
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