Literature DB >> 31648416

Identification of Potential Inhibitors of Cathepsin-B using Shape & Pharmacophore-based Virtual Screening, Molecular Docking and Explicit Water Thermodynamics.

Tanuj Sharma1, Munesh Kumar Harioudh1, Jitendra Kuldeep1, Sushil Kumar1, Dibyendu Banerjee1,2, Jimut Kanti Ghosh1,2, Mohammad Imran Siddiqi1,2.   

Abstract

Lysosome has been long understood as a vital digestive organelle. Increasing reports indicate that the lysosome also plays a crucial role in the pathogenesis of a variety of neurodegenerative diseases, including Huntington's disease, Alzheimer's disease, Parkinson's disease and amyotrophic lateral sclerosis. Abnormal protein degradation and deposition stimulated by lysosomal dysfunction may cause age-related neurodegeneration. Enormous efforts have been devoted to the development of effective therapeutics against Alzheimer's disease, the most debilitating neurodegenerative disease. Endopeptidase activity of the Cathepsin-B is associated with the pathological processes. Work presented here focuses on identification of new inhibitors against Cathepsin-B protein using diverse computational approaches together. The inhibitors identified were further tested for in-vitro activity using enzyme based assay method. The identified inhibitors provided interesting understanding on how the water thermodynamic properties along with hydrophobic, steric, electronic, and structural requirements contribute to cathepsin-B inhibitory activity. These water thermodynamic studies, may further be used in computer aided drug discovery pipeline to design and predict more potent derivatives of various scaffolds as cathepsin-B inhibitors.
© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Cathepsin-B; Glide; Inhibitors; Molecular Dynamics; Pharmacophore; Shape Screening; Surflex; Virtual Screening; WaterMap; water thermodynamics

Mesh:

Substances:

Year:  2019        PMID: 31648416     DOI: 10.1002/minf.201900023

Source DB:  PubMed          Journal:  Mol Inform        ISSN: 1868-1743            Impact factor:   3.353


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