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http://dx.doi.org/10.13160/ricns.2016.9.2.136

Structure Prediction of KiSS1-derived Peptide Receptor Using Comparative Modelling  

Nagarajan, Santhosh Kumar (Department of Bioinformatics, School of Bioengineering, SRM University)
Madhavan, Thirumurthy (Department of Bioinformatics, School of Bioengineering, SRM University)
Publication Information
Journal of Integrative Natural Science / v.9, no.2, 2016 , pp. 136-143 More about this Journal
Abstract
KiSS1-derived peptide receptor, a GPCR protein, binds with the hormone kiss peptin. They are important in the neuroendocrine regulation of reproduction and in the secretion of gonadotrophin-releasing hormone. Thus, analysing the structural features of the receptor becomes important. However, the three dimensional structure of the protein is unavailable. Hence in this study, we have performed the homology modelling of KiSS1-derived peptide receptor with 5 different templates. 30 models were constructed using two platforms - Easymodeller and ITasser. The optimal models were chosen based on the model validation. Two models were selected after validation. The developed models could provide useful for analysing the structural features of KiSS1-derived peptide receptor and their pathophysiological role in various disorders related to them.
Keywords
KiSS1-derived Peptide Receptor; GPCR; GPR54; Kisspeptin; Homology Modelling;
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