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in silico-prediction of downstream WRKY interacting partners of MAPK3 in Brassica
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 (BjMPK3P) in Brassica juncea using the docking approach. Out of 63 and 37 members of BrWRKY and Bn...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910361/ https://www.ncbi.nlm.nih.gov/pubmed/24497732 http://dx.doi.org/10.6026/97320630091036 |
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author | Giri, Priyanka Taj, Gohar Tasleem, Mohd Kumar, Anil |
author_facet | Giri, Priyanka Taj, Gohar Tasleem, Mohd Kumar, Anil |
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 (BjMPK3P) in Brassica juncea using the docking approach. Out of 63 and 37 members of BrWRKY and BnWRKY transcription factors, 50 and 29 members are showing interactions with BjMPK3P respectively while the rest are showing non-interaction. Twenty two WRKY members are common to both the species. Using minimal sequence motif search as well as through docking approach several novel WRKY 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. |
format | Online Article Text |
id | pubmed-3910361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-39103612014-02-04 in silico-prediction of downstream WRKY interacting partners of MAPK3 in Brassica Giri, Priyanka Taj, Gohar Tasleem, Mohd Kumar, Anil 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 (BjMPK3P) in Brassica juncea using the docking approach. Out of 63 and 37 members of BrWRKY and BnWRKY transcription factors, 50 and 29 members are showing interactions with BjMPK3P respectively while the rest are showing non-interaction. Twenty two WRKY members are common to both the species. Using minimal sequence motif search as well as through docking approach several novel WRKY 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 2013-12-27 /pmc/articles/PMC3910361/ /pubmed/24497732 http://dx.doi.org/10.6026/97320630091036 Text en © 2013 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 Taj, Gohar Tasleem, Mohd Kumar, Anil in silico-prediction of downstream WRKY interacting partners of MAPK3 in Brassica |
title | in silico-prediction of downstream WRKY interacting partners of MAPK3 in Brassica |
title_full | in silico-prediction of downstream WRKY interacting partners of MAPK3 in Brassica |
title_fullStr | in silico-prediction of downstream WRKY interacting partners of MAPK3 in Brassica |
title_full_unstemmed | in silico-prediction of downstream WRKY interacting partners of MAPK3 in Brassica |
title_short | in silico-prediction of downstream WRKY interacting partners of MAPK3 in Brassica |
title_sort | in silico-prediction of downstream wrky interacting partners of mapk3 in brassica |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910361/ https://www.ncbi.nlm.nih.gov/pubmed/24497732 http://dx.doi.org/10.6026/97320630091036 |
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