Literature DB >> 14593709

Yeast genomics and proteomics in drug discovery and target validation.

Ainslie B Parsons1, Ron Geyer, Timothy R Hughes, Charles Boone.   

Abstract

Small, cell permeable, and target-specific chemical ligands are highly valuable, not only as therapeutics but also as research tools. The synthesis, identification and characterization of these compounds is often a difficult task. The straightforward genetics of the budding yeast Saccharomyces cerevisiae, and the high degree of conservation of basic cellular processes between yeast and higher organisms makes yeast an excellent tool for drug development studies, particularly in regards to anticancer and anti-fungal drug discovery. Recent advances in yeast functional genomics and proteomics studies are changing the field of yeast research. Many of these new technologies are readily applicable to drug target identification and other aspects of drug discovery. This review will focus on current genetic, genomic, and proteomic methodologies in S. cerevisiae that have the potential to be useful in drug discovery and target validation.

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Year:  2003        PMID: 14593709

Source DB:  PubMed          Journal:  Prog Cell Cycle Res        ISSN: 1087-2957


  16 in total

Review 1.  Functional genomic screening approaches in mechanistic toxicology and potential future applications of CRISPR-Cas9.

Authors:  Hua Shen; Cliona M McHale; Martyn T Smith; Luoping Zhang
Journal:  Mutat Res Rev Mutat Res       Date:  2015-01-25       Impact factor: 5.657

2.  A potent plant-derived antifungal acetylenic acid mediates its activity by interfering with fatty acid homeostasis.

Authors:  Tao Xu; Siddharth K Tripathi; Qin Feng; Michael C Lorenz; Marsha A Wright; Melissa R Jacob; Melanie M Mask; Scott R Baerson; Xing-Cong Li; Alice M Clark; Ameeta K Agarwal
Journal:  Antimicrob Agents Chemother       Date:  2012-03-19       Impact factor: 5.191

3.  Loss of SOD1 and LYS7 sensitizes Saccharomyces cerevisiae to hydroxyurea and DNA damage agents and downregulates MEC1 pathway effectors.

Authors:  Carole D Carter; Lauren E Kitchen; Wei-Chun Au; Christopher M Babic; Munira A Basrai
Journal:  Mol Cell Biol       Date:  2005-12       Impact factor: 4.272

4.  A genome-wide screen identifies yeast genes required for protection against or enhanced cytotoxicity of the antimalarial drug quinine.

Authors:  Sandra C Dos Santos; Isabel Sá-Correia
Journal:  Mol Genet Genomics       Date:  2011-09-30       Impact factor: 3.291

5.  The marine sponge-derived polyketide endoperoxide plakortide F acid mediates its antifungal activity by interfering with calcium homeostasis.

Authors:  Tao Xu; Qin Feng; Melissa R Jacob; Bharathi Avula; Melanie M Mask; Scott R Baerson; Siddharth K Tripathi; Rabab Mohammed; Mark T Hamann; Ikhlas A Khan; Larry A Walker; Alice M Clark; Ameeta K Agarwal
Journal:  Antimicrob Agents Chemother       Date:  2011-02-07       Impact factor: 5.191

6.  Yeast genome-wide drug-induced haploinsufficiency screen to determine drug mode of action.

Authors:  Kristin Baetz; Lianne McHardy; Ken Gable; Tamsin Tarling; Delphine Rebérioux; Jenny Bryan; Raymond J Andersen; Teresa Dunn; Phil Hieter; Michel Roberge
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-15       Impact factor: 11.205

7.  Role of heme in the antifungal activity of the azaoxoaporphine alkaloid sampangine.

Authors:  Ameeta K Agarwal; Tao Xu; Melissa R Jacob; Qin Feng; Michael C Lorenz; Larry A Walker; Alice M Clark
Journal:  Eukaryot Cell       Date:  2007-12-21

8.  Yeast toxicogenomics: genome-wide responses to chemical stresses with impact in environmental health, pharmacology, and biotechnology.

Authors:  Sandra C Dos Santos; Miguel Cacho Teixeira; Tânia R Cabrito; Isabel Sá-Correia
Journal:  Front Genet       Date:  2012-04-19       Impact factor: 4.599

9.  Saccharomyces cerevisiae: a versatile eukaryotic system in virology.

Authors:  Rui P Galao; Nicoletta Scheller; Isabel Alves-Rodrigues; Tanja Breinig; Andreas Meyerhans; Juana Díez
Journal:  Microb Cell Fact       Date:  2007-10-10       Impact factor: 5.328

10.  Mining protein networks for synthetic genetic interactions.

Authors:  Sri R Paladugu; Shan Zhao; Animesh Ray; Alpan Raval
Journal:  BMC Bioinformatics       Date:  2008-10-09       Impact factor: 3.169

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