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PONDEROSA-C/S: client–server based software package for automated protein 3D structure determination
Peak-picking Of Noe Data Enabled by Restriction Of Shift Assignments-Client Server (PONDEROSA-C/S) builds on the original PONDEROSA software (Lee et al. in Bioinformatics 27:1727–1728. doi:10.1093/bioinformatics/btr200, 2011) and includes improved features for structure calculation and refinement. P...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4207954/ https://www.ncbi.nlm.nih.gov/pubmed/25190042 http://dx.doi.org/10.1007/s10858-014-9855-x |
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author | Lee, Woonghee Stark, Jaime L. Markley, John L. |
author_facet | Lee, Woonghee Stark, Jaime L. Markley, John L. |
author_sort | Lee, Woonghee |
collection | PubMed |
description | Peak-picking Of Noe Data Enabled by Restriction Of Shift Assignments-Client Server (PONDEROSA-C/S) builds on the original PONDEROSA software (Lee et al. in Bioinformatics 27:1727–1728. doi:10.1093/bioinformatics/btr200, 2011) and includes improved features for structure calculation and refinement. PONDEROSA-C/S consists of three programs: Ponderosa Server, Ponderosa Client, and Ponderosa Analyzer. PONDEROSA-C/S takes as input the protein sequence, a list of assigned chemical shifts, and nuclear Overhauser data sets ((13)C- and/or (15)N-NOESY). The output is a set of assigned NOEs and 3D structural models for the protein. Ponderosa Analyzer supports the visualization, validation, and refinement of the results from Ponderosa Server. These tools enable semi-automated NMR-based structure determination of proteins in a rapid and robust fashion. We present examples showing the use of PONDEROSA-C/S in solving structures of four proteins: two that enable comparison with the original PONDEROSA package, and two from the Critical Assessment of automated Structure Determination by NMR (Rosato et al. in Nat Methods 6:625–626. doi:10.1038/nmeth0909-625, 2009) competition. The software package can be downloaded freely in binary format from http://pine.nmrfam.wisc.edu/download_packages.html. Registered users of the National Magnetic Resonance Facility at Madison can submit jobs to the PONDEROSA-C/S server at http://ponderosa.nmrfam.wisc.edu, where instructions, tutorials, and instructions can be found. Structures are normally returned within 1–2 days. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-014-9855-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4207954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-42079542014-10-28 PONDEROSA-C/S: client–server based software package for automated protein 3D structure determination Lee, Woonghee Stark, Jaime L. Markley, John L. J Biomol NMR Communication Peak-picking Of Noe Data Enabled by Restriction Of Shift Assignments-Client Server (PONDEROSA-C/S) builds on the original PONDEROSA software (Lee et al. in Bioinformatics 27:1727–1728. doi:10.1093/bioinformatics/btr200, 2011) and includes improved features for structure calculation and refinement. PONDEROSA-C/S consists of three programs: Ponderosa Server, Ponderosa Client, and Ponderosa Analyzer. PONDEROSA-C/S takes as input the protein sequence, a list of assigned chemical shifts, and nuclear Overhauser data sets ((13)C- and/or (15)N-NOESY). The output is a set of assigned NOEs and 3D structural models for the protein. Ponderosa Analyzer supports the visualization, validation, and refinement of the results from Ponderosa Server. These tools enable semi-automated NMR-based structure determination of proteins in a rapid and robust fashion. We present examples showing the use of PONDEROSA-C/S in solving structures of four proteins: two that enable comparison with the original PONDEROSA package, and two from the Critical Assessment of automated Structure Determination by NMR (Rosato et al. in Nat Methods 6:625–626. doi:10.1038/nmeth0909-625, 2009) competition. The software package can be downloaded freely in binary format from http://pine.nmrfam.wisc.edu/download_packages.html. Registered users of the National Magnetic Resonance Facility at Madison can submit jobs to the PONDEROSA-C/S server at http://ponderosa.nmrfam.wisc.edu, where instructions, tutorials, and instructions can be found. Structures are normally returned within 1–2 days. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10858-014-9855-x) contains supplementary material, which is available to authorized users. Springer Netherlands 2014-09-05 2014 /pmc/articles/PMC4207954/ /pubmed/25190042 http://dx.doi.org/10.1007/s10858-014-9855-x Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Communication Lee, Woonghee Stark, Jaime L. Markley, John L. PONDEROSA-C/S: client–server based software package for automated protein 3D structure determination |
title | PONDEROSA-C/S: client–server based software package for automated protein 3D structure determination |
title_full | PONDEROSA-C/S: client–server based software package for automated protein 3D structure determination |
title_fullStr | PONDEROSA-C/S: client–server based software package for automated protein 3D structure determination |
title_full_unstemmed | PONDEROSA-C/S: client–server based software package for automated protein 3D structure determination |
title_short | PONDEROSA-C/S: client–server based software package for automated protein 3D structure determination |
title_sort | ponderosa-c/s: client–server based software package for automated protein 3d structure determination |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4207954/ https://www.ncbi.nlm.nih.gov/pubmed/25190042 http://dx.doi.org/10.1007/s10858-014-9855-x |
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