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PSSMSearch: a server for modeling, visualization, proteome-wide discovery and annotation of protein motif specificity determinants

There is a pressing need for in silico tools that can aid in the identification of the complete repertoire of protein binding (SLiMs, MoRFs, miniMotifs) and modification (moiety attachment/removal, isomerization, cleavage) motifs. We have created PSSMSearch, an interactive web-based tool for rapid s...

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Detalles Bibliográficos
Autores principales: Krystkowiak, Izabella, Manguy, Jean, Davey, Norman E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030969/
https://www.ncbi.nlm.nih.gov/pubmed/29873773
http://dx.doi.org/10.1093/nar/gky426
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author Krystkowiak, Izabella
Manguy, Jean
Davey, Norman E
author_facet Krystkowiak, Izabella
Manguy, Jean
Davey, Norman E
author_sort Krystkowiak, Izabella
collection PubMed
description There is a pressing need for in silico tools that can aid in the identification of the complete repertoire of protein binding (SLiMs, MoRFs, miniMotifs) and modification (moiety attachment/removal, isomerization, cleavage) motifs. We have created PSSMSearch, an interactive web-based tool for rapid statistical modeling, visualization, discovery and annotation of protein motif specificity determinants to discover novel motifs in a proteome-wide manner. PSSMSearch analyses proteomes for regions with significant similarity to a motif specificity determinant model built from a set of aligned motif-containing peptides. Multiple scoring methods are available to build a position-specific scoring matrix (PSSM) describing the motif specificity determinant model. This model can then be modified by a user to add prior knowledge of specificity determinants through an interactive PSSM heatmap. PSSMSearch includes a statistical framework to calculate the significance of specificity determinant model matches against a proteome of interest. PSSMSearch also includes the SLiMSearch framework’s annotation, motif functional analysis and filtering tools to highlight relevant discriminatory information. Additional tools to annotate statistically significant shared keywords and GO terms, or experimental evidence of interaction with a motif-recognizing protein have been added. Finally, PSSM-based conservation metrics have been created for taxonomic range analyses. The PSSMSearch web server is available at http://slim.ucd.ie/pssmsearch/.
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spelling pubmed-60309692018-07-10 PSSMSearch: a server for modeling, visualization, proteome-wide discovery and annotation of protein motif specificity determinants Krystkowiak, Izabella Manguy, Jean Davey, Norman E Nucleic Acids Res Web Server Issue There is a pressing need for in silico tools that can aid in the identification of the complete repertoire of protein binding (SLiMs, MoRFs, miniMotifs) and modification (moiety attachment/removal, isomerization, cleavage) motifs. We have created PSSMSearch, an interactive web-based tool for rapid statistical modeling, visualization, discovery and annotation of protein motif specificity determinants to discover novel motifs in a proteome-wide manner. PSSMSearch analyses proteomes for regions with significant similarity to a motif specificity determinant model built from a set of aligned motif-containing peptides. Multiple scoring methods are available to build a position-specific scoring matrix (PSSM) describing the motif specificity determinant model. This model can then be modified by a user to add prior knowledge of specificity determinants through an interactive PSSM heatmap. PSSMSearch includes a statistical framework to calculate the significance of specificity determinant model matches against a proteome of interest. PSSMSearch also includes the SLiMSearch framework’s annotation, motif functional analysis and filtering tools to highlight relevant discriminatory information. Additional tools to annotate statistically significant shared keywords and GO terms, or experimental evidence of interaction with a motif-recognizing protein have been added. Finally, PSSM-based conservation metrics have been created for taxonomic range analyses. The PSSMSearch web server is available at http://slim.ucd.ie/pssmsearch/. Oxford University Press 2018-07-02 2018-06-05 /pmc/articles/PMC6030969/ /pubmed/29873773 http://dx.doi.org/10.1093/nar/gky426 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Krystkowiak, Izabella
Manguy, Jean
Davey, Norman E
PSSMSearch: a server for modeling, visualization, proteome-wide discovery and annotation of protein motif specificity determinants
title PSSMSearch: a server for modeling, visualization, proteome-wide discovery and annotation of protein motif specificity determinants
title_full PSSMSearch: a server for modeling, visualization, proteome-wide discovery and annotation of protein motif specificity determinants
title_fullStr PSSMSearch: a server for modeling, visualization, proteome-wide discovery and annotation of protein motif specificity determinants
title_full_unstemmed PSSMSearch: a server for modeling, visualization, proteome-wide discovery and annotation of protein motif specificity determinants
title_short PSSMSearch: a server for modeling, visualization, proteome-wide discovery and annotation of protein motif specificity determinants
title_sort pssmsearch: a server for modeling, visualization, proteome-wide discovery and annotation of protein motif specificity determinants
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030969/
https://www.ncbi.nlm.nih.gov/pubmed/29873773
http://dx.doi.org/10.1093/nar/gky426
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