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Open AccessArticle

Pharmacophore Directed Screening of Agonistic Natural Molecules Showing Affinity to 5HT2C Receptor

1
Department of Biotechnology, Koneru Lakshmaiah Education Foundation (KLEF), Green Fields, Vaddeswaram, Guntur (Dt.) A.P. 522 502, India
2
Institute of Health and Sport, Victoria University, Melbourne 3011, Australia
3
Molecular Nanomedicine Research Unit, Centre for Nanoscience and Nanotechnology, Sathyabama Institute of Science and Technology, Chennai 600 119, India
*
Author to whom correspondence should be addressed.
Biomolecules 2019, 9(10), 556; https://doi.org/10.3390/biom9100556
Received: 15 August 2019 / Revised: 26 September 2019 / Accepted: 29 September 2019 / Published: 1 October 2019
(This article belongs to the Special Issue Protein-Ligand Structure Discovery)
Obesity prevalence continues to be a foremost health concern across the globe leading to the development of major health risk conditions like type II diabetes, hyperlipidemia, hypertension and even cancers. Because of the deprived drug-based management system, there is an urgent need for the development of new drugs aiming at satiety and appetite control targets. Among the reported satiety signaling targets, 5HT2C receptor plays a crucial role in decreasing appetite and has become a promising target for the development of anti-obesity drugs. Lorcaserin, a 5HT2C receptor agonist and the only drug available in the market, was designed based on the receptor mechanism of action. Due to limited drug options available and considering the adverse drug effects of Lorcaserin, the development of new drugs which are highly specific toward the 5HT2C target and with lesser side effects is essential. The present study is majorly focused on developing new 5HT2C agonists through computational approaches like screening, docking, and simulation using Phase, QikProp, Glide and Desmond applications of the Schrodinger suite. Screening protocols resulted in eight best hit molecules with affinity for the receptor and among them, five hits displayed binding affinity toward the conserved residue Asp 134 of the receptor. The stability of the five molecules in complex with the 5HT2C receptor was studied through molecular dynamic simulations. Three molecules, ZINC32123870, ZINC40312983 and ZINC32124535, maintained stable interactions with the Asp 134 residue throughout the 50 ns simulation run time. Further, due to the high sequence similarity seen among the receptors of 5HT2 family, the three potential hits were cross validated against other subtypes 5HT2A and 5HT2B of the 5HT2 family to determine the specificity of the molecules against the target. Among the three hits, ZINC32124535 was identified as the best potential hit based on the hydrogen bond interaction percentage with Asp residue [5HT2A (Asp 155:60%); 5HT2B (Asp155: No interaction); 5HT2C (Asp 134:86%)]. The ZINC32124535 molecule produced one salt bridge and hydrogen bond interactions with Asp 134, alike the known drug Lorcaserin. Based on the results, ZINC32124535 was identified as the best potential hit against the 5HT2C receptor. View Full-Text
Keywords: 5HT2C receptor; ZINC natural molecule database; pharmacophore modeling; glide; dynamic simulations 5HT2C receptor; ZINC natural molecule database; pharmacophore modeling; glide; dynamic simulations
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Veeramachaneni, G.K.; Thunuguntla, V.B.S.C.; Bhaswant, M.; Mathai, M.L.; Bondili, J.S. Pharmacophore Directed Screening of Agonistic Natural Molecules Showing Affinity to 5HT2C Receptor. Biomolecules 2019, 9, 556.

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