Literature DB >> 18473903

Genomic and genetic approaches for the identification of antifungal drug targets.

A K Agarwal1, T Xu, M R Jacob, Q Feng, X C Li, L A Walker, A M Clark.   

Abstract

Understanding how novel antifungal compounds work in target cells is useful not only in facilitating the discovery of new drugs but also new tools that can be used for further exploration of the targeted biological pathways and their regulation. Various genomic and genetic technologies have been developed in the model yeast Saccharomyces cerevisiae, and have been successfully used to identify drug target pathways. This review discusses the methods developed for some of these technologies, and how they have been used to evaluate the cellular pathways affected by a variety of therapeutic drugs and inhibitors. The advantages and disadvantages of each method are considered, and new advances are highlighted where applicable. The investigation of the mechanism of action of new antifungal compounds will undoubtedly lead to the development of new antifungal therapies targeting new fungal pathways that are more specific and less toxic than currently available antifungal drugs.

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Year:  2008        PMID: 18473903     DOI: 10.2174/187152608784139613

Source DB:  PubMed          Journal:  Infect Disord Drug Targets        ISSN: 1871-5265


  3 in total

1.  Exploring the molecular basis of antifungal synergies using genome-wide approaches.

Authors:  Ameeta K Agarwal; Siddharth K Tripathi; Tao Xu; Melissa R Jacob; Xing-Cong Li; Alice M Clark
Journal:  Front Microbiol       Date:  2012-03-27       Impact factor: 5.640

2.  Gymnemic acids inhibit hyphal growth and virulence in Candida albicans.

Authors:  Govindsamy Vediyappan; Vincent Dumontet; Franck Pelissier; Christophe d'Enfert
Journal:  PLoS One       Date:  2013-09-11       Impact factor: 3.240

3.  Structural Insights into the Interactions of Candidal Enolase with Human Vitronectin, Fibronectin and Plasminogen.

Authors:  Dorota Satala; Grzegorz Satala; Justyna Karkowska-Kuleta; Michal Bukowski; Anna Kluza; Maria Rapala-Kozik; Andrzej Kozik
Journal:  Int J Mol Sci       Date:  2020-10-22       Impact factor: 5.923

  3 in total

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