In silico docking and comparative ADMET profile of different glycogen synthase kinase 3 beta inhibitors as the potential leads for the development of anti-Alzheimer drug therapy

Glycogen synthase kinase 3 beta (GSK3 β) plays a key role in pathologic hyper phosphorylation of tau and plays an important role in the pathogenesis of Alzheimer's disease. In the present study, we have screened a set of potential hits in in silico platform to gain insight regarding binding pro...

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Published inJournal of advanced pharmaceutical technology and research Vol. 11; no. 4; pp. 194 - 201
Main Authors Prajapat, Manisha, Sarma, Phulen, Shekhar, Nishant, Kaur, Hardeep, Singh, Sanjay, Kumar, Subodh, Kaur, Harpinder, Mahendiratta, Saniya, Sharma, Amit, Kaur, Sukhmandeep, Mahalmani, Vidya, Medhi, Bikash
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Abstract Glycogen synthase kinase 3 beta (GSK3 β) plays a key role in pathologic hyper phosphorylation of tau and plays an important role in the pathogenesis of Alzheimer's disease. In the present study, we have screened a set of potential hits in in silico platform to gain insight regarding binding profile with the target (GSK3 β) from molecular docking, ADME/T, and molecular dynamics (MD) simulations. The three screened compounds 6-BIBEO, 6-BIO, and SB216763 topped the docking score chart when subjected to hard scoring function extraprecision of GLIDE. The active site dynamics study through MD simulations provides insights on residues Asp133, Val135, and Ile62 which are in a state of minimum deviation from their mean special position while they interact with the respective ligands. The same molecules also displayed favorable pharmacokinetic profile, negative Ames test and falls correctly within drug-likeliness rules. These agents can be taken forward further for the development of anti-Alzheimer's drug therapy.
AbstractList Glycogen synthase kinase 3 beta (GSK3 β) plays a key role in pathologic hyper phosphorylation of tau and plays an important role in the pathogenesis of Alzheimer's disease. In the present study, we have screened a set of potential hits in in silico platform to gain insight regarding binding profile with the target (GSK3 β) from molecular docking, ADME/T, and molecular dynamics (MD) simulations. The three screened compounds 6-BIBEO, 6-BIO, and SB216763 topped the docking score chart when subjected to hard scoring function extraprecision of GLIDE. The active site dynamics study through MD simulations provides insights on residues Asp133, Val135, and Ile62 which are in a state of minimum deviation from their mean special position while they interact with the respective ligands. The same molecules also displayed favorable pharmacokinetic profile, negative Ames test and falls correctly within drug-likeliness rules. These agents can be taken forward further for the development of anti-Alzheimer's drug therapy.
Glycogen synthase kinase 3 beta (GSK3 β) plays a key role in pathologic hyper phosphorylation of tau and plays an important role in the pathogenesis of Alzheimer's disease. In the present study, we have screened a set of potential hits in in silico platform to gain insight regarding binding profile with the target (GSK3 β) from molecular docking, ADME/T, and molecular dynamics (MD) simulations. The three screened compounds 6-BIBEO, 6-BIO, and SB216763 topped the docking score chart when subjected to hard scoring function extraprecision of GLIDE. The active site dynamics study through MD simulations provides insights on residues Asp133, Val135, and Ile62 which are in a state of minimum deviation from their mean special position while they interact with the respective ligands. The same molecules also displayed favorable pharmacokinetic profile, negative Ames test and falls correctly within drug-likeliness rules. These agents can be taken forward further for the development of anti-Alzheimer's drug therapy.
Glycogen synthase kinase 3 beta (GSK3 β) plays a key role in pathologic hyper phosphorylation of tau and plays an important role in the pathogenesis of Alzheimer's disease. In the present study, we have screened a set of potential hits in platform to gain insight regarding binding profile with the target (GSK3 β) from molecular docking, ADME/T, and molecular dynamics (MD) simulations. The three screened compounds 6-BIBEO, 6-BIO, and SB216763 topped the docking score chart when subjected to hard scoring function extraprecision of GLIDE. The active site dynamics study through MD simulations provides insights on residues Asp133, Val135, and Ile62 which are in a state of minimum deviation from their mean special position while they interact with the respective ligands. The same molecules also displayed favorable pharmacokinetic profile, negative Ames test and falls correctly within drug-likeliness rules. These agents can be taken forward further for the development of anti-Alzheimer's drug therapy.
Author Sarma, Phulen
Prajapat, Manisha
Singh, Sanjay
Mahalmani, Vidya
Medhi, Bikash
Kaur, Harpinder
Mahendiratta, Saniya
Kaur, Sukhmandeep
Kumar, Subodh
Sharma, Amit
Shekhar, Nishant
Kaur, Hardeep
AuthorAffiliation Department of Pharmacology, PGIMER, Chandigarh, India
2 Department of Neurology, PGIMER, Chandigarh, India
1 Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, Punjab, India
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Issue 4
Keywords Glycogen synthase kinase 3 beta
molecular docking
in silico
molecular dynamics
Language English
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StartPage 194
SubjectTerms Alzheimer's disease
Ames test
Drug therapy
Glycogen
Glycogen synthase kinase 3
glycogen synthase kinase 3 beta
in silico
Kinases
molecular docking
molecular dynamics
Neurodegenerative diseases
Original
Pharmacokinetics
Phosphorylation
Tau protein
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Title In silico docking and comparative ADMET profile of different glycogen synthase kinase 3 beta inhibitors as the potential leads for the development of anti-Alzheimer drug therapy
URI http://www.japtr.org/article.asp?issn=2231-4040;year=2020;volume=11;issue=4;spage=194;epage=201;aulast=Prajapat;type=0
https://www.ncbi.nlm.nih.gov/pubmed/33425704
https://www.proquest.com/docview/2532716885
https://search.proquest.com/docview/2476850203
https://pubmed.ncbi.nlm.nih.gov/PMC7784934
https://doaj.org/article/e4c4b27ebcea40d7943279a08faa033e
Volume 11
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