Original ArticleIndian Journal of Pharmaceutical Education and ResearchVol. 52 | Issue 3 | 2018 | pp. 514–524Open access
Energy Based Pharmacophore Modelling and Docking Studies for Determining Potent Inhibitor Against M2 Proton Channel of Influenza Virus
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- 1 Department of Biotechnology, School of Bio Sciences and Technology, Vellore Institue of Technology, Vellore, Tamil Nadu, INDIA.
Published in Indian Journal of Pharmaceutical Education and Research
Correspondence: Shanthi Veerappapillai
Department of Biotechnology, School of Bio Sciences and Technology, Vellore Institue of Technology, Vellore, Tamil Nadu, INDIA.
Email: shanthi.v@vit.ac.in
Copyright: © 2018 Manuscript Technomedia. This is an open access article.
- Published:
- Jun 17, 2018
- Received:
- Oct 13, 2017
- Accepted:
- Dec 19, 2017
How to cite
Kanagavelu, R., Sunny, S., Balasundaram, P., Karuppasamy, R., & Veerappapillai, S. (2018). Energy Based Pharmacophore Modelling and Docking Studies for Determining Potent Inhibitor Against M2 Proton Channel of Influenza Virus. Indian Journal of Pharmaceutical Education and Research, 52(3), 514–524. https://doi.org/10.5530/ijper.52.3.59
Abstract
M2 protein, a crucial glycoprotein present on the viral envelope of Influenza A virus plays an important role in the replication and budding of influenza A virus in the host organism. Due to its primal role in the life cycle of influenza A virus, it is targeted by many potent drugs like amantadine and rimantadine. The emergence of M2 protein mutants in the recent years has rendered these drugs ineffective. Keeping this in our minds, an investigation was performed to determine potent inhibitors of M2 protein using computational strategies like e-pharmacophore based virtual screening and molecular docking. A three dimensional pharmacophore model was generated based on the chemical features using PHASE module of Schrödinger Suite. Subsequently, molecules with same pharmacophoric features were screened from a total of 8621 molecules available in the DrugBank database using the generated pharmacophore hypothesis. This was followed by molecular docking of the screened molecules using three methodologies namely HTVS, SP and XP. Ligand filtration was also done to obtain an efficient collection of hit molecules by analysing pharmacokinetic properties by using Qikprop module. Consequently, our study ascertained nine molecules namely, DB00374, DB00770, DB05015, DB08868, DB00631, DB00983, DB01262, DB00837 and DB01048 which were found to possess anti-viral properties. It is also worth mentioning that antiviral activity of these compounds has been previously reported in recent literature.
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Article metadata
| Title | Energy Based Pharmacophore Modelling and Docking Studies for Determining Potent Inhibitor Against M2 Proton Channel of Influenza Virus |
|---|---|
| Authors | Rohini Kanagavelu; Shinny Sunny; Preethi Balasundaram; Ramanathan Karuppasamy; Shanthi Veerappapillai |
| Affiliations | Department of Biotechnology, School of Bio Sciences and Technology, Vellore Institue of Technology, Vellore, Tamil Nadu, INDIA. |
| Corresponding author | shanthi.v@vit.ac.in |
| Journal | Indian Journal of Pharmaceutical Education and Research |
| Volume / Issue | Vol. 52, Issue 3 (2018) |
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