Literature DB >> 22352909

Computer-aided drug design methodologies toward the design of anti-hepatitis C agents.

Alejandro Speck-Planche1, M Natália D S Cordeiro.   

Abstract

Hepatitis C constitutes an infectious disease that causes severe damages to the liver, and is caused by hepatitis C virus. There is no vaccine against this type of disease and the number of people infected continues to grow worldwide. The anti-viral therapy which is currently used is a mixture of interferon alpha-2a with ribavirin, but approximately half of the patients do not respond to therapy. Therefore, it is necessary to search for new compounds with anti-hepatitis C activity. Computer-aided drug design methodologies have been vital in the discovery of candidates to drugs. This review is dedicated to the role of computer-aided drug design methodologies for the development of new anti-hepatitis C agents. In addition, we introduce a QSAR model based on substructural approaches in order to model the anti-hepatitis C activity in vivo.

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Year:  2012        PMID: 22352909     DOI: 10.2174/156802612800166783

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  2 in total

1.  Fragment-based optimization of small molecule CXCL12 inhibitors for antagonizing the CXCL12/CXCR4 interaction.

Authors:  Joshua J Ziarek; Yan Liu; Emmanuel Smith; Guolin Zhang; Francis C Peterson; Jun Chen; Yongping Yu; Yu Chen; Brian F Volkman; Rongshi Li
Journal:  Curr Top Med Chem       Date:  2012       Impact factor: 3.295

2.  Finding candidate drugs for hepatitis C based on chemical-chemical and chemical-protein interactions.

Authors:  Lei Chen; Jing Lu; Tao Huang; Jun Yin; Lai Wei; Yu-Dong Cai
Journal:  PLoS One       Date:  2014-09-16       Impact factor: 3.240

  2 in total

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