Generic placeholder image

Anti-Cancer Agents in Medicinal Chemistry

Editor-in-Chief

ISSN (Print): 1871-5206
ISSN (Online): 1875-5992

Anti-cancer Glycosidase Inhibitors from Natural Products: A Computational and Molecular Modelling Perspective

Author(s): Ashona Singh, Ndumiso Mhlongo and Mahmoud E.S. Soliman

Volume 15, Issue 8, 2015

Page: [933 - 946] Pages: 14

DOI: 10.2174/1871520615666150223123622

Price: $65

Abstract

The implementation of computational tools in pharmaceutics has proven an effectual strategy in creating harmony between the physical and chemical aspects of proteins and potential inhibitors. This is achieved by bringing to life the three dimensional retrospect of biological systems, which takes into consideration computational approaches such as quantum mechanics and molecular dynamics to facilitate drug design and discovery. In this work, we aim to provide a summary of the computational aspects of naturally derived anti-cancer inhibitors targeting the enzyme family of glycosidases. Our study offers insight into the evolution of drug discovery, molecular modelling and molecular binding modes of natural product inhibitors associated with glycosidase enzymes.

Keywords: Anti-cancer inhibitors, glycosidase, molecular modelling, natural product.

Graphical Abstract

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy