Citation
Elangovan, Nandha Devi, et al. "Screening of Potential Drug for Alzheimer's Disease: a Computational Study With GSK-3 Β Inhibition Through Virtual Screening, Docking, and Molecular Dynamics Simulation." Journal of Biomolecular Structure & Dynamics, vol. 39, no. 18, 2021, pp. 7065-7079.
Elangovan ND, Dhanabalan AK, Gunasekaran K, et al. Screening of potential drug for Alzheimer's disease: a computational study with GSK-3 β inhibition through virtual screening, docking, and molecular dynamics simulation. J Biomol Struct Dyn. 2021;39(18):7065-7079.
Elangovan, N. D., Dhanabalan, A. K., Gunasekaran, K., Kandimalla, R., & Sankarganesh, D. (2021). Screening of potential drug for Alzheimer's disease: a computational study with GSK-3 β inhibition through virtual screening, docking, and molecular dynamics simulation. Journal of Biomolecular Structure & Dynamics, 39(18), 7065-7079. https://doi.org/10.1080/07391102.2020.1805362
Elangovan ND, et al. Screening of Potential Drug for Alzheimer's Disease: a Computational Study With GSK-3 Β Inhibition Through Virtual Screening, Docking, and Molecular Dynamics Simulation. J Biomol Struct Dyn. 2021;39(18):7065-7079. PubMed PMID: 32779973.
TY - JOUR
T1 - Screening of potential drug for Alzheimer's disease: a computational study with GSK-3 β inhibition through virtual screening, docking, and molecular dynamics simulation.
AU - Elangovan,Nandha Devi,
AU - Dhanabalan,Anantha Krishnan,
AU - Gunasekaran,Krishnasamy,
AU - Kandimalla,Ramesh,
AU - Sankarganesh,Devaraj,
Y1 - 2020/08/11/
PY - 2020/8/12/pubmed
PY - 2021/10/26/medline
PY - 2020/8/12/entrez
KW - AD
KW - GSK-3β
KW - binding free energy calculation
KW - compound 6961
KW - induced-fit docking
KW - molecular dynamics simulation
KW - virtual screening
SP - 7065
EP - 7079
JF - Journal of biomolecular structure & dynamics
JO - J Biomol Struct Dyn
VL - 39
IS - 18
N2 - The global impact of Alzheimer's disease (AD) necessitates intensive research to find appropriate and effective drugs. Many studies in AD suggested beta-amyloid plaques and neurofibrillary tangles-associated tau protein as the key targets for drug development. On the other hand, it is proved that triggering of Glycogen Synthase Kinase-3β (GSK-3β) also cause AD, therefore, GSK-3β is a potential drug target to combat AD. We, in this study, investigated the ability of small molecules to inhibit GSK-3β through virtual screening, Absorption, Distribution, Metabolism, and Excretion (ADME), induced-fit docking (IFD), molecular dynamics simulation, and binding free energy calculation. Besides, molecular docking was performed to reveal the binding and interaction of the ligand at the active site of GSK-3β. We found two compounds such as 6961 and 6966, which exhibited steady-state interaction with GSK-3β for 30 ns in molecular dynamics simulation. The compounds (6961 and 6966) also achieved a docking score of -9.05 kcal/mol and -8.11 kcal/mol, respectively, which is relatively higher than the GSK-3β II inhibitor (-6.73 kcal/mol). The molecular dynamics simulation revealed that the compounds have a stable state during overall simulation time, and lesser root-mean-square deviation (RMSD) and root-mean-square fluctuation (RMSF) values compared with co-crystal. In conclusion, we suggest the two compounds (6966 and 6961) as potential leads that could be utilized as effective inhibitors of GSK-3β to combat AD. Communicated by Ramaswamy H. Sarma.
SN - 1538-0254
UR - https://www.unboundmedicine.com/medline/citation/32779973/Screening_of_potential_drug_for_Alzheimer's_disease:_a_computational_study_with_GSK_3_β_inhibition_through_virtual_screening_docking_and_molecular_dynamics_simulation_
DB - PRIME
DP - Unbound Medicine
ER -