Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zucker, Frank H., Kim, Hae Young, Merritt, Ethan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2012
Materias:
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
_version_ 1782233905029447680
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
work_keys_str_mv AT zuckerfrankh prosperoonlinepredictionofcrystallographicsuccessfromexperimentalresultsandsequence
AT kimhaeyoung prosperoonlinepredictionofcrystallographicsuccessfromexperimentalresultsandsequence
AT merrittethana prosperoonlinepredictionofcrystallographicsuccessfromexperimentalresultsandsequence