Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/108709
Title: Computational Approaches for the Discovery of Human Proteasome Inhibitors: An Overview
Authors: Guedes, Romina A. 
Serra, Patrícia
Salvador, Jorge A. R. 
Guedes, Rita C.
Keywords: cancer; proteasome inhibitors; computer-aided drug design; virtual screening; molecular docking; pharmacophore model
Issue Date: 16-Jul-2016
Publisher: MDPI
Project: SFRH/BD/104441/2014 
PTDC/QEQ-MED/7042/2014 
UID/DTP/04138/2013 
Serial title, monograph or event: Molecules
Volume: 21
Issue: 7
Abstract: Proteasome emerged as an important target in recent pharmacological research due to its pivotal role in degrading proteins in the cytoplasm and nucleus of eukaryotic cells, regulating a wide variety of cellular pathways, including cell growth and proliferation, apoptosis, DNA repair, transcription, immune response, and signaling processes. The last two decades witnessed intensive efforts to discover 20S proteasome inhibitors with significant chemical diversity and efficacy. To date, the US FDA approved to market three proteasome inhibitors: bortezomib, carfilzomib, and ixazomib. However new, safer and more efficient drugs are still required. Computer-aided drug discovery has long being used in drug discovery campaigns targeting the human proteasome. The aim of this review is to illustrate selected in silico methods like homology modeling, molecular docking, pharmacophore modeling, virtual screening, and combined methods that have been used in proteasome inhibitors discovery. Applications of these methods to proteasome inhibitors discovery will also be presented and discussed to raise improvements in this particular field.
URI: https://hdl.handle.net/10316/108709
ISSN: 1420-3049
DOI: 10.3390/molecules21070927
Rights: openAccess
Appears in Collections:I&D CNC - Artigos em Revistas Internacionais
FFUC- Artigos em Revistas Internacionais

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