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Clustering tendency in the protein fold space
Several non-redundant ensembles of protein three-dimensional structures were analyzed in order to estimate their natural clustering tendency by means of the Cox-Lewis coefficient. It was observed that, despite proteins tend to aggregate into different and well separated groups, some overlap between...
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Formato: | Texto |
Lenguaje: | English |
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Biomedical Informatics Publishing Group
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951670/ https://www.ncbi.nlm.nih.gov/pubmed/20975898 |
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author | Carugo, Oliviero |
author_facet | Carugo, Oliviero |
author_sort | Carugo, Oliviero |
collection | PubMed |
description | Several non-redundant ensembles of protein three-dimensional structures were analyzed in order to estimate their natural clustering tendency by means of the Cox-Lewis coefficient. It was observed that, despite proteins tend to aggregate into different and well separated groups, some overlap between different clusters occurs. This suggests that classifications bases only on structural data cannot allow a systematic classification of proteins. Additional information are in particular needed in order to monitor completely the complex evolutionary relationships between proteins. |
format | Text |
id | pubmed-2951670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-29516702010-10-25 Clustering tendency in the protein fold space Carugo, Oliviero Bioinformation Hypothesis Several non-redundant ensembles of protein three-dimensional structures were analyzed in order to estimate their natural clustering tendency by means of the Cox-Lewis coefficient. It was observed that, despite proteins tend to aggregate into different and well separated groups, some overlap between different clusters occurs. This suggests that classifications bases only on structural data cannot allow a systematic classification of proteins. Additional information are in particular needed in order to monitor completely the complex evolutionary relationships between proteins. Biomedical Informatics Publishing Group 2010-02-28 /pmc/articles/PMC2951670/ /pubmed/20975898 Text en © 2010 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Hypothesis Carugo, Oliviero Clustering tendency in the protein fold space |
title | Clustering tendency in the protein fold space |
title_full | Clustering tendency in the protein fold space |
title_fullStr | Clustering tendency in the protein fold space |
title_full_unstemmed | Clustering tendency in the protein fold space |
title_short | Clustering tendency in the protein fold space |
title_sort | clustering tendency in the protein fold space |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951670/ https://www.ncbi.nlm.nih.gov/pubmed/20975898 |
work_keys_str_mv | AT carugooliviero clusteringtendencyintheproteinfoldspace |