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IsoMIF Finder: online detection of binding site molecular interaction field similarities

Summary: IsoMIF Finder is an online server for the identification of molecular interaction field (MIF) similarities. User defined binding site MIFs can be compared to datasets of pre-calculated MIFs or against a user-defined list of PDB entries. The interface can be used for the prediction of functi...

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Detalles Bibliográficos
Autores principales: Chartier, Matthieu, Adriansen, Etienne, Najmanovich, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743630/
https://www.ncbi.nlm.nih.gov/pubmed/26504139
http://dx.doi.org/10.1093/bioinformatics/btv616
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author Chartier, Matthieu
Adriansen, Etienne
Najmanovich, Rafael
author_facet Chartier, Matthieu
Adriansen, Etienne
Najmanovich, Rafael
author_sort Chartier, Matthieu
collection PubMed
description Summary: IsoMIF Finder is an online server for the identification of molecular interaction field (MIF) similarities. User defined binding site MIFs can be compared to datasets of pre-calculated MIFs or against a user-defined list of PDB entries. The interface can be used for the prediction of function, identification of potential cross-reactivity or polypharmacological targets and drug repurposing. Detected similarities can be viewed in a browser or within a PyMOL session. Availability and Implementation: IsoMIF Finder uses JSMOL (no java plugin required), is cross-browser and freely available at bcb.med.usherbrooke.ca/imfi. Contact: Rafael.Najmanovich@Usherbrooke.ca Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-47436302016-02-08 IsoMIF Finder: online detection of binding site molecular interaction field similarities Chartier, Matthieu Adriansen, Etienne Najmanovich, Rafael Bioinformatics Applications Notes Summary: IsoMIF Finder is an online server for the identification of molecular interaction field (MIF) similarities. User defined binding site MIFs can be compared to datasets of pre-calculated MIFs or against a user-defined list of PDB entries. The interface can be used for the prediction of function, identification of potential cross-reactivity or polypharmacological targets and drug repurposing. Detected similarities can be viewed in a browser or within a PyMOL session. Availability and Implementation: IsoMIF Finder uses JSMOL (no java plugin required), is cross-browser and freely available at bcb.med.usherbrooke.ca/imfi. Contact: Rafael.Najmanovich@Usherbrooke.ca Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-02-15 2015-10-25 /pmc/articles/PMC4743630/ /pubmed/26504139 http://dx.doi.org/10.1093/bioinformatics/btv616 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Chartier, Matthieu
Adriansen, Etienne
Najmanovich, Rafael
IsoMIF Finder: online detection of binding site molecular interaction field similarities
title IsoMIF Finder: online detection of binding site molecular interaction field similarities
title_full IsoMIF Finder: online detection of binding site molecular interaction field similarities
title_fullStr IsoMIF Finder: online detection of binding site molecular interaction field similarities
title_full_unstemmed IsoMIF Finder: online detection of binding site molecular interaction field similarities
title_short IsoMIF Finder: online detection of binding site molecular interaction field similarities
title_sort isomif finder: online detection of binding site molecular interaction field similarities
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743630/
https://www.ncbi.nlm.nih.gov/pubmed/26504139
http://dx.doi.org/10.1093/bioinformatics/btv616
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