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Model Organisms in Drug Discovery

Model Organisms in Drug Discovery

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Contents<br />

List of contributors ...................................... xi<br />

Acknowledgments ....................................... xiv<br />

1 Introduction to <strong>Model</strong> Systems <strong>in</strong> <strong>Drug</strong> <strong>Discovery</strong><br />

Kev<strong>in</strong> Fitzgerald and Pamela M. Carroll .................... 1<br />

1.1 Integrat<strong>in</strong>g model organism research with drug discovery. . . 1<br />

2 Grow<strong>in</strong>g Yeast for Fun and Profit: Use of Saccharomyces cerevisiae<br />

as a <strong>Model</strong> System <strong>in</strong> <strong>Drug</strong> <strong>Discovery</strong><br />

Petra Ross-Macdonald ................................. 9<br />

2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9<br />

2.2 Saccharomyces cerevisiae and its genome: a brief primer. . . . 10<br />

2.3 Yeast <strong>in</strong> pathway and mechanism elucidation . . . . . . . . . . . 13<br />

2.4 An example of mechanism elucidation:<br />

immunosuppressive agents . . . . . . . . . . . . . . . . . . . . . . . . . . 14<br />

2.5 Application <strong>in</strong> pathway elucidation: G-prote<strong>in</strong>-coupled<br />

receptor/mitogen-activated prote<strong>in</strong> k<strong>in</strong>ase signal<strong>in</strong>g . . . . . . . 17<br />

2.6 Applications <strong>in</strong> pathway deconstruction/reconstruction . . . . 18<br />

2.7 Applications to the study of prote<strong>in</strong> function . . . . . . . . . . . . 19<br />

2.8 Reagents and resources available <strong>in</strong> yeast. . . . . . . . . . . . . . . 22<br />

2.9 Gene expression profil<strong>in</strong>g us<strong>in</strong>g microarrays. . . . . . . . . . . . . 24<br />

2.10 Deletion collections: re<strong>in</strong>vent<strong>in</strong>g traditional screens . . . . . . . 25<br />

2.11 Overexpression analysis: enough is enough. . . . . . . . . . . . . . 29<br />

2.12 Proteomics: would you like chips with that?. . . . . . . . . . . . . 29<br />

2.13 Web-accessible databases: br<strong>in</strong>g<strong>in</strong>g it all back home. . . . . . . 31<br />

2.14 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32<br />

2.15 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32<br />

3 Caenorhabditis elegans Functional Genomics <strong>in</strong> <strong>Drug</strong> <strong>Discovery</strong>:<br />

Expand<strong>in</strong>g Paradigms<br />

Titus Kaletta, Lynn Butler and Thierry Bogaert .............. 41<br />

<strong>Model</strong> <strong>Organisms</strong> <strong>in</strong> <strong>Drug</strong> <strong>Discovery</strong>. Edited by Pamela M. Carroll and Kev<strong>in</strong> Fitzgerald.<br />

& 2003 John Wiley & Sons, Ltd. ISBN 0 470 84893 6

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