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PRIMO: An Interactive Homology Modeling Pipeline

The development of automated servers to predict the three-dimensional structure of proteins has seen much progress over the years. These servers make calculations simpler, but largely exclude users from the process. In this study, we present the PRotein Interactive MOdeling (PRIMO) pipeline for homo...

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Detalles Bibliográficos
Autores principales: Hatherley, Rowan, Brown, David K., Glenister, Michael, Tastan Bishop, Özlem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5113968/
https://www.ncbi.nlm.nih.gov/pubmed/27855192
http://dx.doi.org/10.1371/journal.pone.0166698
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author Hatherley, Rowan
Brown, David K.
Glenister, Michael
Tastan Bishop, Özlem
author_facet Hatherley, Rowan
Brown, David K.
Glenister, Michael
Tastan Bishop, Özlem
author_sort Hatherley, Rowan
collection PubMed
description The development of automated servers to predict the three-dimensional structure of proteins has seen much progress over the years. These servers make calculations simpler, but largely exclude users from the process. In this study, we present the PRotein Interactive MOdeling (PRIMO) pipeline for homology modeling of protein monomers. The pipeline eases the multi-step modeling process, and reduces the workload required by the user, while still allowing engagement from the user during every step. Default parameters are given for each step, which can either be modified or supplemented with additional external input. PRIMO has been designed for users of varying levels of experience with homology modeling. The pipeline incorporates a user-friendly interface that makes it easy to alter parameters used during modeling. During each stage of the modeling process, the site provides suggestions for novice users to improve the quality of their models. PRIMO provides functionality that allows users to also model ligands and ions in complex with their protein targets. Herein, we assess the accuracy of the fully automated capabilities of the server, including a comparative analysis of the available alignment programs, as well as of the refinement levels used during modeling. The tests presented here demonstrate the reliability of the PRIMO server when producing a large number of protein models. While PRIMO does focus on user involvement in the homology modeling process, the results indicate that in the presence of suitable templates, good quality models can be produced even without user intervention. This gives an idea of the base level accuracy of PRIMO, which users can improve upon by adjusting parameters in their modeling runs. The accuracy of PRIMO’s automated scripts is being continuously evaluated by the CAMEO (Continuous Automated Model EvaluatiOn) project. The PRIMO site is free for non-commercial use and can be accessed at https://primo.rubi.ru.ac.za/.
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spelling pubmed-51139682016-12-08 PRIMO: An Interactive Homology Modeling Pipeline Hatherley, Rowan Brown, David K. Glenister, Michael Tastan Bishop, Özlem PLoS One Research Article The development of automated servers to predict the three-dimensional structure of proteins has seen much progress over the years. These servers make calculations simpler, but largely exclude users from the process. In this study, we present the PRotein Interactive MOdeling (PRIMO) pipeline for homology modeling of protein monomers. The pipeline eases the multi-step modeling process, and reduces the workload required by the user, while still allowing engagement from the user during every step. Default parameters are given for each step, which can either be modified or supplemented with additional external input. PRIMO has been designed for users of varying levels of experience with homology modeling. The pipeline incorporates a user-friendly interface that makes it easy to alter parameters used during modeling. During each stage of the modeling process, the site provides suggestions for novice users to improve the quality of their models. PRIMO provides functionality that allows users to also model ligands and ions in complex with their protein targets. Herein, we assess the accuracy of the fully automated capabilities of the server, including a comparative analysis of the available alignment programs, as well as of the refinement levels used during modeling. The tests presented here demonstrate the reliability of the PRIMO server when producing a large number of protein models. While PRIMO does focus on user involvement in the homology modeling process, the results indicate that in the presence of suitable templates, good quality models can be produced even without user intervention. This gives an idea of the base level accuracy of PRIMO, which users can improve upon by adjusting parameters in their modeling runs. The accuracy of PRIMO’s automated scripts is being continuously evaluated by the CAMEO (Continuous Automated Model EvaluatiOn) project. The PRIMO site is free for non-commercial use and can be accessed at https://primo.rubi.ru.ac.za/. Public Library of Science 2016-11-17 /pmc/articles/PMC5113968/ /pubmed/27855192 http://dx.doi.org/10.1371/journal.pone.0166698 Text en © 2016 Hatherley 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hatherley, Rowan
Brown, David K.
Glenister, Michael
Tastan Bishop, Özlem
PRIMO: An Interactive Homology Modeling Pipeline
title PRIMO: An Interactive Homology Modeling Pipeline
title_full PRIMO: An Interactive Homology Modeling Pipeline
title_fullStr PRIMO: An Interactive Homology Modeling Pipeline
title_full_unstemmed PRIMO: An Interactive Homology Modeling Pipeline
title_short PRIMO: An Interactive Homology Modeling Pipeline
title_sort primo: an interactive homology modeling pipeline
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5113968/
https://www.ncbi.nlm.nih.gov/pubmed/27855192
http://dx.doi.org/10.1371/journal.pone.0166698
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