Short CommunicationInternational Journal of Pharmaceutical InvestigationVol. 9 | Issue 4 | 2019 | pp. 220–222Open access
In silico Docking Studies and Potential Lead Identification against JNK3 for Alzheimer’s Disease
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- 1 Department of Applied Science, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Uttar Pradesh, INDIA.
Published in International Journal of Pharmaceutical Investigation
Correspondence: Nidhi Mishra
Department of Applied Science, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Uttar Pradesh, INDIA.
Email: nidhimishra@iiita.ac.in
Copyright: © 2019 Manuscript Technomedia. This is an open access article.
- Published:
- Dec 12, 2019
How to cite
Singh, N., Upadhyay, S., Jaiswar, A., & Mishra, N. (2019). In silico Docking Studies and Potential Lead Identification against JNK3 for Alzheimer’s Disease. International Journal of Pharmaceutical Investigation, 9(4), 220–222. https://doi.org/10.5330/ijpi.2019.4.41
Abstract
Background: Alzheimer’s Disease (AD) is a neuron related brain disorder leading to reasoning and memory loss. There is no specific cure identified for AD. JNK3 (c-Jun N-terminal kinase /stress-activated protein kinase) are highly revealed within the central nervous system, particularly neurons, playing vital role in functioning of brain. JNK3 hyper phosphorylation is a very common conclusion in neurodegenerative diseases. JNK3 in turn hy- per phosphorylates Amyloid Precursor Protein (APP) which leads to the for- mation of Amyloid β peptides (an inductive agent of Alzheimer’s disease). Methods: Protein JNK-3 (PDB ID: 3KVX) was retrieved from protein data bank and later we docked a library of compounds against it. These were further validated by ADMET studies. Results: Thus, docking inhibitors of JNK3 may provide a promising sanitive approach. Based on best docking score and glide score a potential lead is identified against JNK3. Conclusion: Inhibiting JNK-3 may lead to less production of amyloidβ peptides, thus reducing the risk of Alzheimer’s disease.
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Article metadata
| Title | In silico Docking Studies and Potential Lead Identification against JNK3 for Alzheimer’s Disease |
|---|---|
| Authors | Nishtha Singh; Sonal Upadhyay; Ankur Jaiswar; Nidhi Mishra |
| Affiliations | Department of Applied Science, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Uttar Pradesh, INDIA. |
| Corresponding author | nidhimishra@iiita.ac.in |
| Journal | International Journal of Pharmaceutical Investigation |
| Volume / Issue | Vol. 9, Issue 4 (2019) |
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