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Protein beta-turn assignments
A classical way to analyze protein 3D structures or models is to investigate their secondary structures. Their predictions are also widely used as a help to build new 3D models. Thus, hundreds of prediction methods have been proposed. Nonetheless before predicting, secondary structure assignment is...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics Publishing Group
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891681/ https://www.ncbi.nlm.nih.gov/pubmed/17597878 |
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author | Bornot, Aurélie de Brevern, Alexandre G |
author_facet | Bornot, Aurélie de Brevern, Alexandre G |
author_sort | Bornot, Aurélie |
collection | PubMed |
description | A classical way to analyze protein 3D structures or models is to investigate their secondary structures. Their predictions are also widely used as a help to build new 3D models. Thus, hundreds of prediction methods have been proposed. Nonetheless before predicting, secondary structure assignment is required even if not trivial. Therefore numerous but diverging assignment methods have been developed. β-turns constitute the third most important secondary structures. However, no analysis to compare the β-turn distributions according to different secondary structure assignment methods has ever been done. We propose in this paper to analyze and evaluate the results of such a comparison. We highlight some important divergence that could have important consequence for the analysis and prediction of β-turns. |
format | Text |
id | pubmed-1891681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-18916812007-06-27 Protein beta-turn assignments Bornot, Aurélie de Brevern, Alexandre G Bioinformation Views & Challenges A classical way to analyze protein 3D structures or models is to investigate their secondary structures. Their predictions are also widely used as a help to build new 3D models. Thus, hundreds of prediction methods have been proposed. Nonetheless before predicting, secondary structure assignment is required even if not trivial. Therefore numerous but diverging assignment methods have been developed. β-turns constitute the third most important secondary structures. However, no analysis to compare the β-turn distributions according to different secondary structure assignment methods has ever been done. We propose in this paper to analyze and evaluate the results of such a comparison. We highlight some important divergence that could have important consequence for the analysis and prediction of β-turns. Biomedical Informatics Publishing Group 2006-06-08 /pmc/articles/PMC1891681/ /pubmed/17597878 Text en © 2006 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 | Views & Challenges Bornot, Aurélie de Brevern, Alexandre G Protein beta-turn assignments |
title | Protein beta-turn assignments |
title_full | Protein beta-turn assignments |
title_fullStr | Protein beta-turn assignments |
title_full_unstemmed | Protein beta-turn assignments |
title_short | Protein beta-turn assignments |
title_sort | protein beta-turn assignments |
topic | Views & Challenges |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891681/ https://www.ncbi.nlm.nih.gov/pubmed/17597878 |
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