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PROSPERO: online prediction of crystallographic success from experimental results and sequence
The growth of diffracting crystals from purified proteins is often a major bottleneck in determining structures of biological and medical interest. The PROSPERO web server, http://skuld.bmsc.washington.edu/prospero, is intended both to provide a means of organizing the potentially large numbers of e...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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International Union of Crystallography
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3359727/ https://www.ncbi.nlm.nih.gov/pubmed/22675232 http://dx.doi.org/10.1107/S002188981201775X |
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author | Zucker, Frank H. Kim, Hae Young Merritt, Ethan A. |
author_facet | Zucker, Frank H. Kim, Hae Young Merritt, Ethan A. |
author_sort | Zucker, Frank H. |
collection | PubMed |
description | The growth of diffracting crystals from purified proteins is often a major bottleneck in determining structures of biological and medical interest. The PROSPERO web server, http://skuld.bmsc.washington.edu/prospero, is intended both to provide a means of organizing the potentially large numbers of experimental characterizations measured from such proteins, and to provide useful guidance for structural biologists who have succeeded in purifying their target protein but have reached an impasse in the difficult and poorly understood process of turning purified protein into well diffracting crystals. These researchers need to decide which of many possible rescue options are worth pursuing, given finite resources. This choice is even more crucial when attempting to solve high-priority but relatively difficult structures of eukaryotic proteins. The site currently uses the HyGX1 predictor, which was trained and validated on protein samples from pathogenic protozoa (eukaryotes) using results from six types of experiment. PROSPERO allows users to store, analyze and display multiple results for each sample, to group samples into projects, and to share results and predictions with collaborators. |
format | Online Article Text |
id | pubmed-3359727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-33597272012-06-06 PROSPERO: online prediction of crystallographic success from experimental results and sequence Zucker, Frank H. Kim, Hae Young Merritt, Ethan A. J Appl Crystallogr Computer Programs The growth of diffracting crystals from purified proteins is often a major bottleneck in determining structures of biological and medical interest. The PROSPERO web server, http://skuld.bmsc.washington.edu/prospero, is intended both to provide a means of organizing the potentially large numbers of experimental characterizations measured from such proteins, and to provide useful guidance for structural biologists who have succeeded in purifying their target protein but have reached an impasse in the difficult and poorly understood process of turning purified protein into well diffracting crystals. These researchers need to decide which of many possible rescue options are worth pursuing, given finite resources. This choice is even more crucial when attempting to solve high-priority but relatively difficult structures of eukaryotic proteins. The site currently uses the HyGX1 predictor, which was trained and validated on protein samples from pathogenic protozoa (eukaryotes) using results from six types of experiment. PROSPERO allows users to store, analyze and display multiple results for each sample, to group samples into projects, and to share results and predictions with collaborators. International Union of Crystallography 2012-06-01 2012-05-16 /pmc/articles/PMC3359727/ /pubmed/22675232 http://dx.doi.org/10.1107/S002188981201775X Text en © Zucker, Kim and Merritt 2012 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Computer Programs Zucker, Frank H. Kim, Hae Young Merritt, Ethan A. PROSPERO: online prediction of crystallographic success from experimental results and sequence |
title |
PROSPERO: online prediction of crystallographic success from experimental results and sequence |
title_full |
PROSPERO: online prediction of crystallographic success from experimental results and sequence |
title_fullStr |
PROSPERO: online prediction of crystallographic success from experimental results and sequence |
title_full_unstemmed |
PROSPERO: online prediction of crystallographic success from experimental results and sequence |
title_short |
PROSPERO: online prediction of crystallographic success from experimental results and sequence |
title_sort | prospero: online prediction of crystallographic success from experimental results and sequence |
topic | Computer Programs |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3359727/ https://www.ncbi.nlm.nih.gov/pubmed/22675232 http://dx.doi.org/10.1107/S002188981201775X |
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