In silico Docking Studies and Potential Lead Identification against JNK3 for Alzheimer’s Disease

  • Nishtha Singh Department of Applied Science, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Uttar Pradesh, INDIA.
  • Sonal Upadhyay Department of Applied Science, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Uttar Pradesh, INDIA.
  • Ankur Jaiswar Department of Applied Science, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Uttar Pradesh, INDIA.
  • Nidhi Mishra Department of Applied Science, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Uttar Pradesh, INDIA.
Keywords: JNK3, Alzheimer’s disease, Amyloid β peptides

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 hyper phosphorylates Amyloid Precursor Protein (APP) which leads to the formation 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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Author Biography

Sonal Upadhyay, Department of Applied Science, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Uttar Pradesh, INDIA.

MTech student

Table 1: Binding efficiency comparison based on Docking Score, Glide g Score and Glide emodel
Published
2019-12-12
How to Cite
1.
Singh N, Upadhyay S, Jaiswar A, Mishra N. In silico Docking Studies and Potential Lead Identification against JNK3 for Alzheimer’s Disease. ijpi [Internet]. 12Dec.2019 [cited 21Mar.2023];9(4):220-2. Available from: https://www.jpionline.org/index.php/ijpi/article/view/337