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New tools and expanded data analysis capabilities at the protein structure prediction center
We outline the main tasks performed by the Protein Structure Prediction Center in support of the CASP7 experiment and provide a brief review of the major measures used in the automatic evaluation of predictions. We describe in more detail the software developed to facilitate analysis of modeling suc...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Wiley Subscription Services, Inc., A Wiley Company
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656758/ https://www.ncbi.nlm.nih.gov/pubmed/17705273 http://dx.doi.org/10.1002/prot.21653 |
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author | Kryshtafovych, Andriy Prlic, Andreas Dmytriv, Zinoviy Daniluk, Pawel Milostan, Maciej Eyrich, Volker Hubbard, Tim Fidelis, Krzysztof |
author_facet | Kryshtafovych, Andriy Prlic, Andreas Dmytriv, Zinoviy Daniluk, Pawel Milostan, Maciej Eyrich, Volker Hubbard, Tim Fidelis, Krzysztof |
author_sort | Kryshtafovych, Andriy |
collection | PubMed |
description | We outline the main tasks performed by the Protein Structure Prediction Center in support of the CASP7 experiment and provide a brief review of the major measures used in the automatic evaluation of predictions. We describe in more detail the software developed to facilitate analysis of modeling success over and beyond the available templates and the adopted Java-based tool enabling visualization of multiple structural superpositions between target and several models/templates. We also give an overview of the CASP infrastructure provided by the Center and discuss the organization of the results web pages available through http://predictioncenter.org |
format | Text |
id | pubmed-2656758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Wiley Subscription Services, Inc., A Wiley Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-26567582009-03-26 New tools and expanded data analysis capabilities at the protein structure prediction center Kryshtafovych, Andriy Prlic, Andreas Dmytriv, Zinoviy Daniluk, Pawel Milostan, Maciej Eyrich, Volker Hubbard, Tim Fidelis, Krzysztof Proteins Evaluation Measures We outline the main tasks performed by the Protein Structure Prediction Center in support of the CASP7 experiment and provide a brief review of the major measures used in the automatic evaluation of predictions. We describe in more detail the software developed to facilitate analysis of modeling success over and beyond the available templates and the adopted Java-based tool enabling visualization of multiple structural superpositions between target and several models/templates. We also give an overview of the CASP infrastructure provided by the Center and discuss the organization of the results web pages available through http://predictioncenter.org Wiley Subscription Services, Inc., A Wiley Company 2007 2007-08-17 /pmc/articles/PMC2656758/ /pubmed/17705273 http://dx.doi.org/10.1002/prot.21653 Text en Copyright © 2007 Wiley-Liss, Inc., A Wiley Company |
spellingShingle | Evaluation Measures Kryshtafovych, Andriy Prlic, Andreas Dmytriv, Zinoviy Daniluk, Pawel Milostan, Maciej Eyrich, Volker Hubbard, Tim Fidelis, Krzysztof New tools and expanded data analysis capabilities at the protein structure prediction center |
title | New tools and expanded data analysis capabilities at the protein structure prediction center |
title_full | New tools and expanded data analysis capabilities at the protein structure prediction center |
title_fullStr | New tools and expanded data analysis capabilities at the protein structure prediction center |
title_full_unstemmed | New tools and expanded data analysis capabilities at the protein structure prediction center |
title_short | New tools and expanded data analysis capabilities at the protein structure prediction center |
title_sort | new tools and expanded data analysis capabilities at the protein structure prediction center |
topic | Evaluation Measures |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656758/ https://www.ncbi.nlm.nih.gov/pubmed/17705273 http://dx.doi.org/10.1002/prot.21653 |
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