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A search for mosquito larvicidal compounds by blocking the sterol carrying protein, AeSCP-2, through computational screening and docking strategies

1★, 2, 3, 3, 1★ Corresponding author

  1. 1Department of Bioinformatics, Sathyabama University, Chennai-600 119
  2. 2Department of Bioinformatics, AVIT, Chennai-603 104
  3. 3Department of Zoology and Division of Wildlife Biology, A.V.C. College, Mayiladuthurai -609305, India.

CORRESPONDENCE

R. Barani Kumar

Department of Bioinformatics, Sathyabama University, Chennai-600 119

baranisathyabama@gmail.com

Received: 12-05-2010; Accepted: 07-09-2010.

Volume 2, Issue 4 · pp. 247-253 · 2010 · DOI: 10.4103/0974-8490.69126

ABSTRACT

Sterol is a very vital compound for most of the insects and mosquitoes to complete their life cycle. Unfortunately mosquitoes cannot synthesize the sterol, it depends on mammals for the same. Mosquitoes take the sterol from the plant decays during their larval stage in the form of phytosterol, which is then converted to cholesterol for further growth and reproduction. This conversion occurs with the help of the sterol carrier protein 2(SCP2). Mosquito populations are controlled by plant-based inhibitors, which inhibit sterol carrier protein (SCPI-Sterol carrier protein inhibitor) activity. In this article, we explain the methods of inhibiting Aedes aegypti SCP2 by insilico methods including natural inhibitor selection and filtrations by virtual screening and interaction studies. In this study protein-ligand interactions were carried out with various phytochemicals, as a result of virtual screening Alpha-mangostin and Panthenol were found to be good analogs, and were allowed to dock with the mosquito cholesterol carrier protein AeSCP-2. Computational selections of SCPIs are highly reliable and novel methods for discovering new and more effective compounds to control mosquitoes.

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    Kumar, R. B., Shanmugapriya, B., Thiyagesan, K., Kumar, S. R., & Xavier, S. M. (2010). A search for mosquito larvicidal compounds by blocking the sterol carrying protein, AeSCP-2, through computational screening and docking strategies. Pharmacognosy Research, 2(4), 247-253. https://doi.org/10.4103/0974-8490.69126

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    © 2010 Author(s)

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. CC BY-NC-SA 4.0