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DOI 10.1002/minf.201900023

Медицинская библиотека · Molecular informatics · 2019

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

Sharma Tanuj, Harioudh Munesh Kumar, Kuldeep Jitendra, Kumar Sushil, Banerjee Dibyendu, Ghosh Jimut Kanti, Siddiqi Mohammad Imran

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Аннотация

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.

Для цитирования: Sharma Tanuj, Harioudh Munesh Kumar, Kuldeep Jitendra, Kumar Sushil, Banerjee Dibyendu, Ghosh Jimut Kanti, Siddiqi Mohammad Imran. Identification of Potential Inhibitors of Cathepsin-B using Shape & Pharmacophore-based Virtual Screening, Molecular Docking and Explicit Water Thermodynamics.. Molecular informatics. 2019. DOI: 10.1002/minf.201900023.

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