Back to Search Start Over

Pharmacophore modeling technique applied for the discovery of proteasome inhibitors

Authors :
Chiara Pautasso
Rossella Troia
Antonio Palumbo
Mariella Genuardi
Source :
Expert Opinion on Drug Discovery. 9:931-943
Publication Year :
2014
Publisher :
Informa Healthcare, 2014.

Abstract

The 26S proteasome has many important roles in the biological functions of the cells, and proteasome inhibitors have multiple and complex activities on cells. These compounds can be natural or synthesized. Most synthetic derivatives have been rationally designed, synthesized and optimized to obtain the best selectivity and increase the activity. The design of chemical entities with desired molecular identification, which plays an important role in biological systems, is provided by pharmacophore modeling. Indeed, pharmacophore models can be established either in a ligand-based manner or in a receptor-based manner.The authors discuss the application of pharmacophore modeling techniques to proteasome inhibitors development. Furthermore, the article reviews the classification of the currently discovered proteasome inhibitors where the principal mechanism of action and clinical application are represented.In the era of new drug development, database of compounds should be thoroughly evaluated with a combination of methods that consider both pharmacophore- and ligand-based virtual screening. The concept of pharmacophore helps to discover new active compounds and to evaluate their activity. The nature of proteasome inhibitor pharmacophore affects the secondary active-site specificity; indeed, increasing specificity decreases the cytotoxicity of the proteasome inhibitors. It is hypothesized that the balanced simultaneous modulation of a few druggable targets may have superior efficacy and fewer side effects than single-target or combination therapies for the treatment of human cancers. The discovery of new compounds should aim to find more active compounds that improve the compliance of patients.

Details

ISSN :
1746045X and 17460441
Volume :
9
Database :
OpenAIRE
Journal :
Expert Opinion on Drug Discovery
Accession number :
edsair.doi.dedup.....5c08b2724f77008a7d25aa0597f19a62
Full Text :
https://doi.org/10.1517/17460441.2014.923838