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Improved protein contact predictions with the MetaPSICOV2 server in CASP12

In this paper, we present the results for the MetaPSICOV2 contact prediction server in the CASP12 community experiment (http://predictioncenter.org). Over the 35 assessed Free Modelling target domains the MetaPSICOV2 server achieved a mean precision of 43.27%, a substantial increase relative to the...

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Detalles Bibliográficos
Autores principales: Buchan, Daniel W A, Jones, David T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5836854/
https://www.ncbi.nlm.nih.gov/pubmed/28901583
http://dx.doi.org/10.1002/prot.25379
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author Buchan, Daniel W A
Jones, David T
author_facet Buchan, Daniel W A
Jones, David T
author_sort Buchan, Daniel W A
collection PubMed
description In this paper, we present the results for the MetaPSICOV2 contact prediction server in the CASP12 community experiment (http://predictioncenter.org). Over the 35 assessed Free Modelling target domains the MetaPSICOV2 server achieved a mean precision of 43.27%, a substantial increase relative to the server's performance in the CASP11 experiment. In the following paper, we discuss improvements to the MetaPSICOV2 server, covering both changes to the neural network and attempts to integrate contact predictions on a domain basis into the prediction pipeline. We also discuss some limitations in the CASP12 assessment which may have overestimated the performance of our method.
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spelling pubmed-58368542018-03-12 Improved protein contact predictions with the MetaPSICOV2 server in CASP12 Buchan, Daniel W A Jones, David T Proteins Research Articles In this paper, we present the results for the MetaPSICOV2 contact prediction server in the CASP12 community experiment (http://predictioncenter.org). Over the 35 assessed Free Modelling target domains the MetaPSICOV2 server achieved a mean precision of 43.27%, a substantial increase relative to the server's performance in the CASP11 experiment. In the following paper, we discuss improvements to the MetaPSICOV2 server, covering both changes to the neural network and attempts to integrate contact predictions on a domain basis into the prediction pipeline. We also discuss some limitations in the CASP12 assessment which may have overestimated the performance of our method. John Wiley and Sons Inc. 2017-09-29 2018-03 /pmc/articles/PMC5836854/ /pubmed/28901583 http://dx.doi.org/10.1002/prot.25379 Text en © 2017 The Authors Proteins: Structure, Function and Bioinformatics Published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Buchan, Daniel W A
Jones, David T
Improved protein contact predictions with the MetaPSICOV2 server in CASP12
title Improved protein contact predictions with the MetaPSICOV2 server in CASP12
title_full Improved protein contact predictions with the MetaPSICOV2 server in CASP12
title_fullStr Improved protein contact predictions with the MetaPSICOV2 server in CASP12
title_full_unstemmed Improved protein contact predictions with the MetaPSICOV2 server in CASP12
title_short Improved protein contact predictions with the MetaPSICOV2 server in CASP12
title_sort improved protein contact predictions with the metapsicov2 server in casp12
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5836854/
https://www.ncbi.nlm.nih.gov/pubmed/28901583
http://dx.doi.org/10.1002/prot.25379
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