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In Silico Characterization of Human Serotonin Receptor 1A Protein

By: Alia Sadiq, Muhammad Qasim Hayat, Amna Younus

Key Words: Serotonin receptor 1A, Protein modelling, Hydrophobicity, Cellular localization, In Silico.

Int. J. Biosci. 12(2), 338-345, February 2018.

DOI: http://dx.doi.org/10.12692/ijb/12.2.338-345

Certification: ijb 2018 0267 [Generate Certificate]

Abstract

Prediction of structure and function of protein is a great challenge in the era of proteomics, particularly for those proteins which are wholly or partially unstructured such as Serotonin receptor 1A protein. It is an auto receptor that binds with serotonin (neurotransmitter) and induces downstream cellular signalling. It has been well studied for its role in various physiological functions but information about its structural and conformational aspects is not known, which is necessary to understand the structural and functional interactions. Therefore, in present study we studied structural characteristic features of 5-HTR 1A protein by using various bioinformatics tools. Swiss-Model server was used to construct the three-dimensional Model for 5-HTR 1A protein that revealed its seven-transmembrane helical structure. Quality of predicted model was validated by Ramachandran plot analysis. It showed that 95.3% of residues present in favoured region, that predicting best fit model. This receptor is consisting of 48.1% hydrophobic, 7.35% acidic, 11.85% basic and 32.7% neutral residues. 3D structure and Stereo packing of predicted model evaluated by VADAR (Volume Area Dihedral Angle Reporter) server. It showed that hydrophobic residues covered more assessable surface area as compared to hydrophilic residues. Fractional volume analysis showed efficient packing of protein in predicted model of 5-HTR 1A. Subcellular localization analysis predicted that it localized in plasma membrane. Furthermore, Protein-protein interaction showed that 5-HTR 1A interacts mainly with Pro-opiomelanocortin (POMC) protein, which involved in feeding behaviour. These results from computational analysis will further contribute to understand the drug related characteristic features of serotonin receptor 1A.

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In Silico Characterization of Human Serotonin Receptor 1A Protein

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Alia Sadiq, Muhammad Qasim Hayat, Amna Younus.
In Silico Characterization of Human Serotonin Receptor 1A Protein.
Int. J. Biosci. 12(2), 338-345, February 2018.
https://innspub.net/ijb/silico-characterization-human-serotonin-receptor-1a-protein/
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