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PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL

BACKGROUND: In recent years, an exponential growing number of tools for protein sequence analysis, editing and modeling tasks have been put at the disposal of the scientific community. Despite the vast majority of these tools have been released as open source software, their deep learning curves oft...

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Autores principales: Bramucci, Emanuele, Paiardini, Alessandro, Bossa, Francesco, Pascarella, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303726/
https://www.ncbi.nlm.nih.gov/pubmed/22536966
http://dx.doi.org/10.1186/1471-2105-13-S4-S2
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author Bramucci, Emanuele
Paiardini, Alessandro
Bossa, Francesco
Pascarella, Stefano
author_facet Bramucci, Emanuele
Paiardini, Alessandro
Bossa, Francesco
Pascarella, Stefano
author_sort Bramucci, Emanuele
collection PubMed
description BACKGROUND: In recent years, an exponential growing number of tools for protein sequence analysis, editing and modeling tasks have been put at the disposal of the scientific community. Despite the vast majority of these tools have been released as open source software, their deep learning curves often discourages even the most experienced users. RESULTS: A simple and intuitive interface, PyMod, between the popular molecular graphics system PyMOL and several other tools (i.e., [PSI-]BLAST, ClustalW, MUSCLE, CEalign and MODELLER) has been developed, to show how the integration of the individual steps required for homology modeling and sequence/structure analysis within the PyMOL framework can hugely simplify these tasks. Sequence similarity searches, multiple sequence and structural alignments generation and editing, and even the possibility to merge sequence and structure alignments have been implemented in PyMod, with the aim of creating a simple, yet powerful tool for sequence and structure analysis and building of homology models. CONCLUSIONS: PyMod represents a new tool for the analysis and the manipulation of protein sequences and structures. The ease of use, integration with many sequence retrieving and alignment tools and PyMOL, one of the most used molecular visualization system, are the key features of this tool. Source code, installation instructions, video tutorials and a user's guide are freely available at the URL http://schubert.bio.uniroma1.it/pymod/index.html
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spelling pubmed-33037262012-03-15 PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL Bramucci, Emanuele Paiardini, Alessandro Bossa, Francesco Pascarella, Stefano BMC Bioinformatics Research BACKGROUND: In recent years, an exponential growing number of tools for protein sequence analysis, editing and modeling tasks have been put at the disposal of the scientific community. Despite the vast majority of these tools have been released as open source software, their deep learning curves often discourages even the most experienced users. RESULTS: A simple and intuitive interface, PyMod, between the popular molecular graphics system PyMOL and several other tools (i.e., [PSI-]BLAST, ClustalW, MUSCLE, CEalign and MODELLER) has been developed, to show how the integration of the individual steps required for homology modeling and sequence/structure analysis within the PyMOL framework can hugely simplify these tasks. Sequence similarity searches, multiple sequence and structural alignments generation and editing, and even the possibility to merge sequence and structure alignments have been implemented in PyMod, with the aim of creating a simple, yet powerful tool for sequence and structure analysis and building of homology models. CONCLUSIONS: PyMod represents a new tool for the analysis and the manipulation of protein sequences and structures. The ease of use, integration with many sequence retrieving and alignment tools and PyMOL, one of the most used molecular visualization system, are the key features of this tool. Source code, installation instructions, video tutorials and a user's guide are freely available at the URL http://schubert.bio.uniroma1.it/pymod/index.html BioMed Central 2012-03-28 /pmc/articles/PMC3303726/ /pubmed/22536966 http://dx.doi.org/10.1186/1471-2105-13-S4-S2 Text en Copyright ©2012 Bramucci et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Bramucci, Emanuele
Paiardini, Alessandro
Bossa, Francesco
Pascarella, Stefano
PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL
title PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL
title_full PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL
title_fullStr PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL
title_full_unstemmed PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL
title_short PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL
title_sort pymod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within pymol
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303726/
https://www.ncbi.nlm.nih.gov/pubmed/22536966
http://dx.doi.org/10.1186/1471-2105-13-S4-S2
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