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An Algorithm for Protein Helix Assignment Using Helix Geometry
Helices are one of the most common and were among the earliest recognized secondary structure elements in proteins. The assignment of helices in a protein underlies the analysis of its structure and function. Though the mathematical expression for a helical curve is simple, no previous assignment pr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488512/ https://www.ncbi.nlm.nih.gov/pubmed/26132394 http://dx.doi.org/10.1371/journal.pone.0129674 |
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author | Cao, Chen Xu, Shutan Wang, Lincong |
author_facet | Cao, Chen Xu, Shutan Wang, Lincong |
author_sort | Cao, Chen |
collection | PubMed |
description | Helices are one of the most common and were among the earliest recognized secondary structure elements in proteins. The assignment of helices in a protein underlies the analysis of its structure and function. Though the mathematical expression for a helical curve is simple, no previous assignment programs have used a genuine helical curve as a model for helix assignment. In this paper we present a two-step assignment algorithm. The first step searches for a series of bona fide helical curves each one best fits the coordinates of four successive backbone C(α) atoms. The second step uses the best fit helical curves as input to make helix assignment. The application to the protein structures in the PDB (protein data bank) proves that the algorithm is able to assign accurately not only regular α-helix but also 3(10) and π helices as well as their left-handed versions. One salient feature of the algorithm is that the assigned helices are structurally more uniform than those by the previous programs. The structural uniformity should be useful for protein structure classification and prediction while the accurate assignment of a helix to a particular type underlies structure-function relationship in proteins. |
format | Online Article Text |
id | pubmed-4488512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44885122015-07-14 An Algorithm for Protein Helix Assignment Using Helix Geometry Cao, Chen Xu, Shutan Wang, Lincong PLoS One Research Article Helices are one of the most common and were among the earliest recognized secondary structure elements in proteins. The assignment of helices in a protein underlies the analysis of its structure and function. Though the mathematical expression for a helical curve is simple, no previous assignment programs have used a genuine helical curve as a model for helix assignment. In this paper we present a two-step assignment algorithm. The first step searches for a series of bona fide helical curves each one best fits the coordinates of four successive backbone C(α) atoms. The second step uses the best fit helical curves as input to make helix assignment. The application to the protein structures in the PDB (protein data bank) proves that the algorithm is able to assign accurately not only regular α-helix but also 3(10) and π helices as well as their left-handed versions. One salient feature of the algorithm is that the assigned helices are structurally more uniform than those by the previous programs. The structural uniformity should be useful for protein structure classification and prediction while the accurate assignment of a helix to a particular type underlies structure-function relationship in proteins. Public Library of Science 2015-07-01 /pmc/articles/PMC4488512/ /pubmed/26132394 http://dx.doi.org/10.1371/journal.pone.0129674 Text en © 2015 Cao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Cao, Chen Xu, Shutan Wang, Lincong An Algorithm for Protein Helix Assignment Using Helix Geometry |
title | An Algorithm for Protein Helix Assignment Using Helix Geometry |
title_full | An Algorithm for Protein Helix Assignment Using Helix Geometry |
title_fullStr | An Algorithm for Protein Helix Assignment Using Helix Geometry |
title_full_unstemmed | An Algorithm for Protein Helix Assignment Using Helix Geometry |
title_short | An Algorithm for Protein Helix Assignment Using Helix Geometry |
title_sort | algorithm for protein helix assignment using helix geometry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488512/ https://www.ncbi.nlm.nih.gov/pubmed/26132394 http://dx.doi.org/10.1371/journal.pone.0129674 |
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