Noopur Khare, Sanjiv Kumar Maheshwari, Syed Mohd Danish Rizvi, Hind Muteb Albadrani, Suliman A Alsagaby, Wael Alturaiki, Danish Iqbal, Qamar Zia, Chiara Villa, Saurabh Kumar Jha, Niraj Kumar Jha, Abhimanyu Kumar Jha
Calcium homeostasis modulator 1 (CALHM1) is a protein responsible for causing Alzheimer's disease. In the absence of an experimentally designed protein molecule, homology modelling was performed. Through homology modelling, different CALHM1 models were generated and validated through Rampage. To carry out further in silico studies, through molecular docking and molecular dynamics simulation experiments, various flavonoids and alkaloids from were utilised as inhibitors to target the protein (CALHM1). The sequence of CALHM1 was retrieved from UniProt and the secondary structure prediction of CALHM1 was done through CFSSP, GOR4, and SOPMA methods. The structure was identified through LOMETS, MUSTER, and MODELLER and finally, the structures were validated through Rampage. plant was used to check the interaction of alkaloids and flavonoids against CALHM1. The protein and protein-ligand complex were also validated through molecular dynamics simulations studies. The model generated through MODELLER software with 6VAM A was used because this model predicted the best results in the Ramachandran plot. Further molecular docking was performed, quercetin was found to be the most appropriate candidate for the protein molecule with the minimum binding energy of -12.45 kcal/mol and their ADME properties were analysed through Molsoft and Molinspiration. Molecular dynamics simulations showed that CALHM1 and CALHM1-quercetin complex became stable at 2500 ps. It may be seen through the study that quercetin may act as a good inhibitor for treatment. With the help of an in silico study, it was easier to analyse the 3D structure of the protein, which may be scrutinized for the best-predicted model. Quercetin may work as a good inhibitor for treating Alzheimer's disease, according to in silico research using molecular docking and molecular dynamics simulations, and future in vitro and in vivo analysis may confirm its effectiveness.
J Comput Chem. 2005 Dec;26(16):1701-18
[PMID:
16211538]
Methods Mol Biol. 2015;1263:243-50
[PMID:
25618350]
Proc Natl Acad Sci U S A. 2012 Jul 10;109(28):E1963-71
[PMID:
22711817]
Biotechnol Lett. 2017 Apr;39(4):473-482
[PMID:
28044226]
Chem Senses. 2017 May 1;42(4):343-359
[PMID:
28334404]
J Med Chem. 2015 May 14;58(9):4066-72
[PMID:
25860834]
Pflugers Arch. 2016 Mar;468(3):395-403
[PMID:
26603282]
Proteins. 2022 Jan;90(1):58-72
[PMID:
34291486]
Nucleic Acids Res. 2015 Jul 1;43(W1):W389-94
[PMID:
25883141]
Nature. 2013 Mar 14;495(7440):223-6
[PMID:
23467090]
Cell. 2008 Jun 27;133(7):1149-61
[PMID:
18585350]
PLoS One. 2013 Sep 17;8(9):e74203
[PMID:
24069280]
Cells. 2021 Dec 14;10(12):
[PMID:
34944045]
Proteins. 2008 Aug;72(2):547-56
[PMID:
18247410]
J Biomol Struct Dyn. 2021 Oct;39(16):5988-5998
[PMID:
32720564]
Pharmaceuticals (Basel). 2021 Sep 18;14(9):
[PMID:
34577637]
Sci Rep. 2015 Aug 21;5:13275
[PMID:
26293226]
J Cell Sci. 2013 Mar 1;126(Pt 5):1199-206
[PMID:
23345406]
J Comput Chem. 2010 Jul 15;31(9):1911-8
[PMID:
20082382]
Nat Struct Mol Biol. 2020 Feb;27(2):150-159
[PMID:
31988524]
Nucleic Acids Res. 2018 Jul 2;46(W1):W296-W303
[PMID:
29788355]
J Alzheimers Dis. 2010;20(1):37-41
[PMID:
20164602]
J Med Chem. 2001 May 24;44(11):1729-40
[PMID:
11356108]