UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1811892


Registration ID:
192382

Page Number

634-639

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Title

A prediction review for the insight to molecular mechanism underlying negative regulation of Agamous (AG) of Arabidopsis thaliana using computational, biochemical and molecular tools

Abstract

The floral patterning in Arabidopsis thaliana is under regulation of Class A,B,C, E genes. The class C gene Agamous (AG) is expressed in whorl 3 and 4 to form stamens and carpel in flower. The expression of AG is repressed in whorl 1 and 2. The previous studies showed the repression of AG mRNA through corepressor protein LUG, SEU genes. RBE, ANT, SAP and BLR transcription factors are also the repressors of AG with the unknown mechanism. In this review, we compile the undertaking of these known repressors in AG mRNA repression and specifically focus on the mechanism and how these repressors interplay among themselves and tightly negatively regulate the expression of AG mRNA in whorl 1 and 2 for the precise maturation process of flower development. To explore the molecular mechanism of repression of AG mRNA, we target on the preliminary computational approach followed by biochemical investigation for the determination of direct or indirect interactions among repressor proteins and repression activity of AG mRNA through these repressors. The preliminary studies are suggested to be performed through computational tools as Bioconda channel based DREAMTools for prediction of Protein-Protein interactions. For the Protein- RNA interactions PRD, RAID, PRIDB and RsiteDB tools are proposed. Further, confirmatory studies may be performed to explore the preliminary data obtained from the suggested computational toolsbe performed through computational tools as Bioconda channel based DREAMTools for prediction of Protein-Protein interactions. For the Protein- RNA interactions PRD, RAID, PRIDB and RsiteDB tools are proposed. Further, confirmatory studies may be performed to explore the preliminary data obtained from the suggested computational tools

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"A prediction review for the insight to molecular mechanism underlying negative regulation of Agamous (AG) of Arabidopsis thaliana using computational, biochemical and molecular tools", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.634-639, November-2018, Available :http://www.jetir.org/papers/JETIR1811892.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A prediction review for the insight to molecular mechanism underlying negative regulation of Agamous (AG) of Arabidopsis thaliana using computational, biochemical and molecular tools", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp634-639, November-2018, Available at : http://www.jetir.org/papers/JETIR1811892.pdf

Publication Details

Published Paper ID: JETIR1811892
Registration ID: 192382
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 634-639
Country: Dehradun, Uttarakhand, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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