Original ArticlePharmacognosy MagazineVol. 11 | Issue 42s | 2015 | pp. 19–28Open access
S19 Pharmacophore modeling, in silico screening, molecular docking and molecular dynamics approaches for potential alpha‑delta bungarotoxin‑4 inhibitors discovery
- 1*,
- 1,
- 1
- 1 Department of Bioinformatics, Sathyabama University, Chennai, Tamil Nadu, India.
Published in Pharmacognosy Magazine
Correspondence: R. Barani Kumar
Department of Bioinformatics, Sathyabama University, Chennai, Tamil Nadu, India.
Email: baranisathyabama@gmail.com
Copyright: © 2015 Manuscript Technomedia. This is an open access article.
- Published:
- May 27, 2015
- Received:
- Jul 1, 2014
How to cite
Kumar, R. B., Suresh, M. X., & Priya, B. S. (2015). S19 Pharmacophore modeling, in silico screening, molecular docking and molecular dynamics approaches for potential alpha‑delta bungarotoxin‑4 inhibitors discovery. Pharmacognosy Magazine, 11(42s), 19–28. https://doi.org/10.4103/0973-1296.157670
Abstract
Background: The alpha‑delta bungartoxin‑4 (α‑δ‑Bgt‑4) is a potent neurotoxin produced by highly venomous snake species, Bungarus caeruleus, mainly targeting neuronal acetylcholine receptors (nAchRs) and producing adverse biological malfunctions leading to respiratory paralysis and mortality. Objective: In this study, we predicted the three‑dimensional structure of α‑δ‑Bgt‑4 using homology modeling and investigated the conformational changes and the key residues responsible for nAchRs inhibiting activity. Materials and Methods: From the selected plants, which are traditionally used for snake bites, the active compounds are taken and performed molecular interaction studies and also used for modern techniques like pharmacophore modeling and mapping and absorption, distribution, metabolism, elimination and toxicity analysis which may increase the possibility of success. Results: Moreover, 100’s of drug‑like compounds were retrieved and analyzed through computational virtual screening and allowed for pharmacokinetic profiling, molecular docking and dynamics simulation. Conclusion: Finally the top five drug‑like compounds having competing level of inhibition toward α‑δ‑Bgt‑4 toxin were suggested based on their interaction with α‑δ‑Bgt‑4 toxin.
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Article metadata
| Title | S19 Pharmacophore modeling, in silico screening, molecular docking and molecular dynamics approaches for potential alpha‑delta bungarotoxin‑4 inhibitors discovery |
|---|---|
| Authors | R. Barani Kumar; M. Xavier Suresh; B. Shanmuga Priya |
| Affiliations | Department of Bioinformatics, Sathyabama University, Chennai, Tamil Nadu, India. |
| Corresponding author | baranisathyabama@gmail.com |
| Journal | Pharmacognosy Magazine |
| Volume / Issue | Vol. 11, Issue 42s (2015) |
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