Interactions among Plant Transcription Factors Regulating Expression of Stress-responsive Genes
Plants are simultaneously subjected to a variety of stress conditions in the field and are known to combat the hostile conditions by up/downregulating number of genes. There exists a significant level of cross-talk between different stress responses in plants. In this study, we predict the interacti...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2014-01-01
|
Series: | Bioinformatics and Biology Insights |
Online Access: | https://doi.org/10.4137/BBI.S16313 |
id |
doaj-18bc8fbab2fe4d9395985b2094474601 |
---|---|
record_format |
Article |
spelling |
doaj-18bc8fbab2fe4d9395985b20944746012020-11-25T03:17:11ZengSAGE PublishingBioinformatics and Biology Insights1177-93222014-01-01810.4137/BBI.S16313Interactions among Plant Transcription Factors Regulating Expression of Stress-responsive GenesSony Malhotra0R. Sowdhamini1National Centre for Biological Sciences (TIFR), Bangalore, India.National Centre for Biological Sciences (TIFR), Bangalore, India.Plants are simultaneously subjected to a variety of stress conditions in the field and are known to combat the hostile conditions by up/downregulating number of genes. There exists a significant level of cross-talk between different stress responses in plants. In this study, we predict the interacting pairs of transcription factors that regulate the multiple abiotic stress-responsive genes in the plant Arabidopsis thaliana. We identified the interacting pair(s) of transcription factors (TFs) based on the spatial proximity of their binding sites. We also examined the interactions between the predicted pairs of TFs using molecular docking. Subsequent to docking, the best interaction pose was selected using our scoring scheme DockScore, which ranks the docked solutions based on several interface parameters and aims to find optimal interactions between proteins. We analyzed the selected docked pose for the interface residues and their conservation.https://doi.org/10.4137/BBI.S16313 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sony Malhotra R. Sowdhamini |
spellingShingle |
Sony Malhotra R. Sowdhamini Interactions among Plant Transcription Factors Regulating Expression of Stress-responsive Genes Bioinformatics and Biology Insights |
author_facet |
Sony Malhotra R. Sowdhamini |
author_sort |
Sony Malhotra |
title |
Interactions among Plant Transcription Factors Regulating Expression of Stress-responsive Genes |
title_short |
Interactions among Plant Transcription Factors Regulating Expression of Stress-responsive Genes |
title_full |
Interactions among Plant Transcription Factors Regulating Expression of Stress-responsive Genes |
title_fullStr |
Interactions among Plant Transcription Factors Regulating Expression of Stress-responsive Genes |
title_full_unstemmed |
Interactions among Plant Transcription Factors Regulating Expression of Stress-responsive Genes |
title_sort |
interactions among plant transcription factors regulating expression of stress-responsive genes |
publisher |
SAGE Publishing |
series |
Bioinformatics and Biology Insights |
issn |
1177-9322 |
publishDate |
2014-01-01 |
description |
Plants are simultaneously subjected to a variety of stress conditions in the field and are known to combat the hostile conditions by up/downregulating number of genes. There exists a significant level of cross-talk between different stress responses in plants. In this study, we predict the interacting pairs of transcription factors that regulate the multiple abiotic stress-responsive genes in the plant Arabidopsis thaliana. We identified the interacting pair(s) of transcription factors (TFs) based on the spatial proximity of their binding sites. We also examined the interactions between the predicted pairs of TFs using molecular docking. Subsequent to docking, the best interaction pose was selected using our scoring scheme DockScore, which ranks the docked solutions based on several interface parameters and aims to find optimal interactions between proteins. We analyzed the selected docked pose for the interface residues and their conservation. |
url |
https://doi.org/10.4137/BBI.S16313 |
work_keys_str_mv |
AT sonymalhotra interactionsamongplanttranscriptionfactorsregulatingexpressionofstressresponsivegenes AT rsowdhamini interactionsamongplanttranscriptionfactorsregulatingexpressionofstressresponsivegenes |
_version_ |
1724632944760324096 |