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In silico-prediction of downstream MYB interacting partners of MAPK3 in Arabidopsis

Protein-Protein interactions (PPIs) are vital to most biological processes thus the identification of PPIs is of primary importance. Here, we endeavor to identify the downstream interacting partners of (AtMAPK3P) in Arabidopsis thaliana using the docking approach. Out of 131 members of MYB transcrip...

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Detalles Bibliográficos
Autores principales: Giri, Priyanka, Kumar, Anil, Taj, Gohar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312363/
https://www.ncbi.nlm.nih.gov/pubmed/25670873
http://dx.doi.org/10.6026/97320630010721
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author Giri, Priyanka
Kumar, Anil
Taj, Gohar
author_facet Giri, Priyanka
Kumar, Anil
Taj, Gohar
author_sort Giri, Priyanka
collection PubMed
description Protein-Protein interactions (PPIs) are vital to most biological processes thus the identification of PPIs is of primary importance. Here, we endeavor to identify the downstream interacting partners of (AtMAPK3P) in Arabidopsis thaliana using the docking approach. Out of 131 members of MYB transcription factors 41 members are showing interactions with AtMAPK3P while the rest are showing non-interaction. Using minimal sequence motif search as well as through docking approach several novel MYB interacting proteins were also reported in the present study which need to be confirmed by in vitro kinase assay. Together, the results obtained essentially enhance our knowledge of the MAPK interacting protein network and provide a valuable research resource for developing a nearly important link between pathogen-activated MAPK signaling pathways and downstream transcriptional programming.
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spelling pubmed-43123632015-02-10 In silico-prediction of downstream MYB interacting partners of MAPK3 in Arabidopsis Giri, Priyanka Kumar, Anil Taj, Gohar Bioinformation Hypothesis Protein-Protein interactions (PPIs) are vital to most biological processes thus the identification of PPIs is of primary importance. Here, we endeavor to identify the downstream interacting partners of (AtMAPK3P) in Arabidopsis thaliana using the docking approach. Out of 131 members of MYB transcription factors 41 members are showing interactions with AtMAPK3P while the rest are showing non-interaction. Using minimal sequence motif search as well as through docking approach several novel MYB interacting proteins were also reported in the present study which need to be confirmed by in vitro kinase assay. Together, the results obtained essentially enhance our knowledge of the MAPK interacting protein network and provide a valuable research resource for developing a nearly important link between pathogen-activated MAPK signaling pathways and downstream transcriptional programming. Biomedical Informatics 2014-12-31 /pmc/articles/PMC4312363/ /pubmed/25670873 http://dx.doi.org/10.6026/97320630010721 Text en © 2014 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Giri, Priyanka
Kumar, Anil
Taj, Gohar
In silico-prediction of downstream MYB interacting partners of MAPK3 in Arabidopsis
title In silico-prediction of downstream MYB interacting partners of MAPK3 in Arabidopsis
title_full In silico-prediction of downstream MYB interacting partners of MAPK3 in Arabidopsis
title_fullStr In silico-prediction of downstream MYB interacting partners of MAPK3 in Arabidopsis
title_full_unstemmed In silico-prediction of downstream MYB interacting partners of MAPK3 in Arabidopsis
title_short In silico-prediction of downstream MYB interacting partners of MAPK3 in Arabidopsis
title_sort in silico-prediction of downstream myb interacting partners of mapk3 in arabidopsis
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312363/
https://www.ncbi.nlm.nih.gov/pubmed/25670873
http://dx.doi.org/10.6026/97320630010721
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