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Identification of novel cathepsin b inhibitors with implications in alzheimer’s disease: Computational refining and biochemical evaluation

Chitranshi, N, Kumar, A, Sheriff, S, Gupta, Veer, Godinez, A, Saks, D, Sarkar, S, Shen, T, Mirzaei, M, Basavarajappa, D, Abyadeh, M, Singh, SK, Dua, K, Zhang, KYJ, Graham, SL and Gupta, V 2021, Identification of novel cathepsin b inhibitors with implications in alzheimer’s disease: Computational refining and biochemical evaluation, Cells, vol. 10, no. 8, pp. 1-30, doi: 10.3390/cells10081946.

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Title Identification of novel cathepsin b inhibitors with implications in alzheimer’s disease: Computational refining and biochemical evaluation
Author(s) Chitranshi, N
Kumar, A
Sheriff, S
Gupta, VeerORCID iD for Gupta, Veer orcid.org/0000-0003-4989-0764
Godinez, A
Saks, D
Sarkar, S
Shen, T
Mirzaei, M
Basavarajappa, D
Abyadeh, M
Singh, SK
Dua, K
Zhang, KYJ
Graham, SL
Gupta, V
Journal name Cells
Volume number 10
Issue number 8
Article ID 1946
Start page 1
End page 30
Total pages 30
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2021
ISSN 2073-4409
2073-4409
Keyword(s) 3D pharmacophore
ACETYLCHOLINESTERASE INHIBITORS
Alzheimer's disease
AMYLOID-BETA
BINDING-AFFINITY
cathepsin B
Cell Biology
CYSTEINE PROTEASES
docking
DRUG DISCOVERY
LAMARCKIAN GENETIC ALGORITHM
Life Sciences & Biomedicine
LIGAND
molecular dynamics
NEURODEGENERATIVE DISORDERS
PROTEIN
Science & Technology
virtual screening
Alzheimer’s disease
Summary Amyloid precursor protein (APP), upon proteolytic degradation, forms aggregates of amyloid β (Aβ) and plaques in the brain, which are pathological hallmarks of Alzheimer’s disease (AD). Cathepsin B is a cysteine protease enzyme that catalyzes the proteolytic degradation of APP in the brain. Thus, cathepsin B inhibition is a crucial therapeutic aspect for the discovery of new anti-Alzheimer’s drugs. In this study, we have employed mixed-feature ligand-based virtual screening (LBVS) by integrating pharmacophore mapping, docking, and molecular dynamics to detect small, potent molecules that act as cathepsin B inhibitors. The LBVS model was generated by using hydrophobic (HY), hydrogen bond acceptor (HBA), and hydrogen bond donor (HBD) features, using a dataset of 24 known cathepsin B inhibitors of both natural and synthetic origins. A validated eight-feature pharmacophore hypothesis (Hypo III) was utilized to screen the Maybridge chemical database. The docking score, MM-PBSA, and MM-GBSA methodology was applied to prioritize the lead compounds as virtual screening hits. These compounds share a common amide scaffold, and showed important interactions with Gln23, Cys29, His110, His111, Glu122, His199, and Trp221. The identified inhibitors were further evaluated for cathepsin-B-inhibitory activity. Our study suggests that pyridine, acetamide, and benzohydrazide compounds could be used as a starting point for the development of novel therapeutics
Language eng
DOI 10.3390/cells10081946
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30156183

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Created: Tue, 28 Sep 2021, 13:18:18 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.