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CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events

CleavPredict (http://cleavpredict.sanfordburnham.org) is a Web server for substrate cleavage prediction for matrix metalloproteinases (MMPs). It is intended as a computational platform aiding the scientific community in reasoning about proteolytic events. CleavPredict offers in silico prediction of...

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Autores principales: Kumar, Sonu, Ratnikov, Boris I., Kazanov, Marat D., Smith, Jeffrey W., Cieplak, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440711/
https://www.ncbi.nlm.nih.gov/pubmed/25996941
http://dx.doi.org/10.1371/journal.pone.0127877
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author Kumar, Sonu
Ratnikov, Boris I.
Kazanov, Marat D.
Smith, Jeffrey W.
Cieplak, Piotr
author_facet Kumar, Sonu
Ratnikov, Boris I.
Kazanov, Marat D.
Smith, Jeffrey W.
Cieplak, Piotr
author_sort Kumar, Sonu
collection PubMed
description CleavPredict (http://cleavpredict.sanfordburnham.org) is a Web server for substrate cleavage prediction for matrix metalloproteinases (MMPs). It is intended as a computational platform aiding the scientific community in reasoning about proteolytic events. CleavPredict offers in silico prediction of cleavage sites specific for 11 human MMPs. The prediction method employs the MMP specific position weight matrices (PWMs) derived from statistical analysis of high-throughput phage display experimental results. To augment the substrate cleavage prediction process, CleavPredict provides information about the structural features of potential cleavage sites that influence proteolysis. These include: secondary structure, disordered regions, transmembrane domains, and solvent accessibility. The server also provides information about subcellular location, co-localization, and co-expression of proteinase and potential substrates, along with experimentally determined positions of single nucleotide polymorphism (SNP), and posttranslational modification (PTM) sites in substrates. All this information will provide the user with perspectives in reasoning about proteolytic events. CleavPredict is freely accessible, and there is no login required.
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spelling pubmed-44407112015-05-29 CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events Kumar, Sonu Ratnikov, Boris I. Kazanov, Marat D. Smith, Jeffrey W. Cieplak, Piotr PLoS One Research Article CleavPredict (http://cleavpredict.sanfordburnham.org) is a Web server for substrate cleavage prediction for matrix metalloproteinases (MMPs). It is intended as a computational platform aiding the scientific community in reasoning about proteolytic events. CleavPredict offers in silico prediction of cleavage sites specific for 11 human MMPs. The prediction method employs the MMP specific position weight matrices (PWMs) derived from statistical analysis of high-throughput phage display experimental results. To augment the substrate cleavage prediction process, CleavPredict provides information about the structural features of potential cleavage sites that influence proteolysis. These include: secondary structure, disordered regions, transmembrane domains, and solvent accessibility. The server also provides information about subcellular location, co-localization, and co-expression of proteinase and potential substrates, along with experimentally determined positions of single nucleotide polymorphism (SNP), and posttranslational modification (PTM) sites in substrates. All this information will provide the user with perspectives in reasoning about proteolytic events. CleavPredict is freely accessible, and there is no login required. Public Library of Science 2015-05-21 /pmc/articles/PMC4440711/ /pubmed/25996941 http://dx.doi.org/10.1371/journal.pone.0127877 Text en © 2015 Kumar et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kumar, Sonu
Ratnikov, Boris I.
Kazanov, Marat D.
Smith, Jeffrey W.
Cieplak, Piotr
CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events
title CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events
title_full CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events
title_fullStr CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events
title_full_unstemmed CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events
title_short CleavPredict: A Platform for Reasoning about Matrix Metalloproteinases Proteolytic Events
title_sort cleavpredict: a platform for reasoning about matrix metalloproteinases proteolytic events
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440711/
https://www.ncbi.nlm.nih.gov/pubmed/25996941
http://dx.doi.org/10.1371/journal.pone.0127877
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