Cargando…

An Accurate Model for Biomolecular Helices and Its Application to Helix Visualization

Helices are the most abundant secondary structural elements in proteins and the structural forms assumed by double stranded DNAs (dsDNA). Though the mathematical expression for a helical curve is simple, none of the previous models for the biomolecular helices in either proteins or DNAs use a genuin...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Lincong, Qiao, Hui, Cao, Chen, Xu, Shutan, Zou, Shuxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488352/
https://www.ncbi.nlm.nih.gov/pubmed/26126117
http://dx.doi.org/10.1371/journal.pone.0129653
_version_ 1782379139818323968
author Wang, Lincong
Qiao, Hui
Cao, Chen
Xu, Shutan
Zou, Shuxue
author_facet Wang, Lincong
Qiao, Hui
Cao, Chen
Xu, Shutan
Zou, Shuxue
author_sort Wang, Lincong
collection PubMed
description Helices are the most abundant secondary structural elements in proteins and the structural forms assumed by double stranded DNAs (dsDNA). Though the mathematical expression for a helical curve is simple, none of the previous models for the biomolecular helices in either proteins or DNAs use a genuine helical curve, likely because of the complexity of fitting backbone atoms to helical curves. In this paper we model a helix as a series of different but all bona fide helical curves; each one best fits the coordinates of four consecutive backbone C(α) atoms for a protein or P atoms for a DNA molecule. An implementation of the model demonstrates that it is more accurate than the previous ones for the description of the deviation of a helix from a standard helical curve. Furthermore, the accuracy of the model makes it possible to correlate deviations with structural and functional significance. When applied to helix visualization, the ribbon diagrams generated by the model are less choppy or have smaller side chain detachment than those by the previous visualization programs that typically model a helix as a series of low-degree splines.
format Online
Article
Text
id pubmed-4488352
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-44883522015-07-02 An Accurate Model for Biomolecular Helices and Its Application to Helix Visualization Wang, Lincong Qiao, Hui Cao, Chen Xu, Shutan Zou, Shuxue PLoS One Research Article Helices are the most abundant secondary structural elements in proteins and the structural forms assumed by double stranded DNAs (dsDNA). Though the mathematical expression for a helical curve is simple, none of the previous models for the biomolecular helices in either proteins or DNAs use a genuine helical curve, likely because of the complexity of fitting backbone atoms to helical curves. In this paper we model a helix as a series of different but all bona fide helical curves; each one best fits the coordinates of four consecutive backbone C(α) atoms for a protein or P atoms for a DNA molecule. An implementation of the model demonstrates that it is more accurate than the previous ones for the description of the deviation of a helix from a standard helical curve. Furthermore, the accuracy of the model makes it possible to correlate deviations with structural and functional significance. When applied to helix visualization, the ribbon diagrams generated by the model are less choppy or have smaller side chain detachment than those by the previous visualization programs that typically model a helix as a series of low-degree splines. Public Library of Science 2015-06-30 /pmc/articles/PMC4488352/ /pubmed/26126117 http://dx.doi.org/10.1371/journal.pone.0129653 Text en © 2015 Wang 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
Wang, Lincong
Qiao, Hui
Cao, Chen
Xu, Shutan
Zou, Shuxue
An Accurate Model for Biomolecular Helices and Its Application to Helix Visualization
title An Accurate Model for Biomolecular Helices and Its Application to Helix Visualization
title_full An Accurate Model for Biomolecular Helices and Its Application to Helix Visualization
title_fullStr An Accurate Model for Biomolecular Helices and Its Application to Helix Visualization
title_full_unstemmed An Accurate Model for Biomolecular Helices and Its Application to Helix Visualization
title_short An Accurate Model for Biomolecular Helices and Its Application to Helix Visualization
title_sort accurate model for biomolecular helices and its application to helix visualization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488352/
https://www.ncbi.nlm.nih.gov/pubmed/26126117
http://dx.doi.org/10.1371/journal.pone.0129653
work_keys_str_mv AT wanglincong anaccuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization
AT qiaohui anaccuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization
AT caochen anaccuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization
AT xushutan anaccuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization
AT zoushuxue anaccuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization
AT wanglincong accuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization
AT qiaohui accuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization
AT caochen accuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization
AT xushutan accuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization
AT zoushuxue accuratemodelforbiomolecularhelicesanditsapplicationtohelixvisualization