Current Topic Workshop: Chemogenomics (partially supported by the College of Medicine)

(May 8,2007 - May 10,2007 )

Organizers


Statistics, The Ohio State University
Paul Blower
College of Pharmacy, The Ohio State University
John Weinstein
Genomics & Bioinformatics Group, National Institutes of Health
Stan Young
NISS

Advances in high throughput chemogenomic profiling such as yeast deletion libraries and whole genome shRNA-based loss-of-function arrays for human and mouse genes promise to accelerate the discovery of potential drug targets and increase understanding of complex interactions between components of a biological system. Chemogenomics can be defined as the use of genomics to measure the system-wide effect of a compound on an intact biological system, either single cells or whole organisms. It combines high-throughput genomics or proteomic profiling with chemoinformatic and statistical analysis to study the response of a biological system to chemical compounds. Cellular response is measured by phenotypic readouts in a high-throughput assay. Chemogenomics also investigates the consequences of differential gene/protein expression on cellular response to compound treatment. For example, expression levels of membrane transporters can have a dramatic effect on compound potency.

Chemogenomics as a discipline has been molded by access to the suite of datasets related to a panel of 60 cancer cell lines from the National Cancer Institute (NCI-60). This is an unparalleled public resource for elucidating molecular targets and mechanisms of chemosensitivity/resistance, with cytotoxic potencies for >50,000 compounds, as well as mRNA profiles and proteomes. In addition, the NCI-60 repertory will soon include expression patterns of microRNAs which can resolve discordant relationships between mRNA and protein expression profiles. The response of cancers to drug treatment is a biological process that cannot be understood by studying individual genes or proteins in isolation. The NCI-60 datasets provide significant opportunities for large-scale datamining and applications of statistical modeling of drug potencies based on mRNA/protein/miRNA expression, alone or in combination with aspects of molecular structure of the drug candidates.

In this workshop, we will survey advances in experimental techniques for high throughput profiling, statistical design and assessment for association, and chemoinformatic techniques for large-scale datamining of compound-gene associations. Chemogenomics draws on many scientific disciplines, and this workshop is intended to foster cross-discipline understanding and lead to long-term collaborations among participants. Conference presenters and discussion leaders will include experimental molecular biologists as well as scientists specializing in statistics, chemoinformatics and drug discovery applications.

Accepted Speakers

Dimitris Agrafiotis
Pharmaceutical R&D, Johnson & Johnson
Clara Bloomfield
Cancer Scholar and Senior Advisor, The Ohio State University
Andrew Boyd
Psychiatry, University of Michigan
David Covell
unkown, National Cancer Institute-Frederick
Eric Kaldjian
Executive Director, Medical Sciences, Gene Logic Inc.
Justin Lamb
Broad Institute, Massachusetts Institute of Technology
Gerhard Mueller
Vice President Drug Discovery Munich, GPC Biotech AG
Georges Natsoulis
Senior Director of Advanced Technology, Iconix Pharmaceuticals
John Overington
Discovery Informatics, Inpharmatica Ltd.
Wolfgang Sadee
College of Medicine and Public Health, The Ohio State University
John Weinstein
Genomics & Bioinformatics Group, National Institutes of Health
Peter Willett
Information Studies, University of Sheffield
Takao Yamori
Division of Molecular Pharmacology, Cancer Chemotherapy Center, Japanese Foundation for Cancer Research
Stan Young
NISS
Tuesday, May 8, 2007
Time Session
Wednesday, May 9, 2007
Time Session
Thursday, May 10, 2007
Time Session
Name Affiliation
, jsv@stat.osu.edu Statistics, The Ohio State University
Agrafiotis, Dimitris Pharmaceutical R&D, Johnson & Johnson
Aguda, Baltazar bdaguda@gmail.com MBI - Long Term Visitor, Bioinformatics Institute, Singapore
Best, Janet jbest@mbi.osu.edu
Bloomfield, Clara clara.bloomfield@osumc.edu Cancer Scholar and Senior Advisor, The Ohio State University
Blower, Paul blower.7@osu.edu College of Pharmacy, The Ohio State University
Boyd, Andrew adboyd@umich.edu Psychiatry, University of Michigan
Carolina Bonilla, Edna blecarolina@gmail.com Science, Pontificia Universidad Javeriana
Covell , David covell@ncifcrf.gov unkown, National Cancer Institute-Frederick
Dai, Zunyan dai.15@osu.edu Pharmacology, The Ohio State University
Dembele, Bassidy bdembele@mbi.osu.edu MBI - Long Term Visitor, Howard University
Djordjevic, Marko mdjordjevic@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Eichler, Gabriel eichler@mail.nih.gov Laboratory of Molecular Pharmacology, National Institutes of Health
Enciso, German German_Enciso@hms.harvard.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Grajdeanu, Paula pgrajdeanu@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Green, Edward egreen@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Guo, Lan @hsc.wvu.edu Department of Community Medicine, MBR Cancer Center
Hartvigsen, Gregg hartvig@geneseo.edu MBI-Long Term Visitor, University at Albany (SUNY)
Hubbell, Earl Earl_Hubbell@affymetrix.com Affymetrix Inc.
Hughes-Oliver, Jacqueline hughesol@stat.ncsu.edu Statistics, North Carolina State University
Kaldjian, Eric EKaldjian@genelogic.com Executive Director, Medical Sciences, Gene Logic Inc.
Kao, Chiu-Yen kao.71@osu.edu MBI - Long Term Visitor, The Ohio State University
Kim, Yangjin ykim@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Lamb, Justin justin@broad.mit.edu Broad Institute, Massachusetts Institute of Technology
Lawler, Sean sean.lawler@osumc.edu Neurosurgery, The Ohio State University
Lewis, Susan S.M.Lewis@maths.soton.ac.uk Southampton Statistical Sciences, University of Southampton
Lou, Yuan lou@math.ohio-state.edu MBI - Long Term Visitor, The Ohio State University
Mueller, Gerhard gerhard.mueller@gpc-biotech.com Vice President Drug Discovery Munich, GPC Biotech AG
Natsoulis, Georges gnatsoulis@iconixpharm.com Senior Director of Advanced Technology, Iconix Pharmaceuticals
Nevai, Andrew anevai@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Oster, Andrew aoester@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Overington , John j.overington@inpharmatica.co.uk Discovery Informatics, Inpharmatica Ltd.
Papp, Audrey papp.2@osu.edu Pharmacology, The Ohio State University
Patel, Tushar tushar.patel@osumc.edu College of Medicine, The Ohio State University
Pepper , Chris peppercj@cf.ac.uk Department of Haematology, Cardiff University
Rempe, Michael mrempe@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Robert, Jacques Robert@bergonie.org Cancer Pharmacology, Institut Bergonie
Sadee, Wolfgang wolfgang.sadee@osumc.edu College of Medicine and Public Health, The Ohio State University
Schuffenhauer, Ansgar ansgar.schuffenhauer@novartis.com Novartis Pharma AG
Schugart, Richard richard.schugart@wku.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Srinivasan, Partha p.srinivasan35@csuohio.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Stahlberg, Eric estahlberg@gmail.com Computer Science, Wittenberg University
Stigler, Brandy bstigler@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Sun, Duxin sun.176@osu.edu College of Pharmacy, The Ohio State University
Sun, Shuying ssun@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Szomolay, Barbara b.szomolay@imperial.ac.uk Mathematical Biosciences Institute (MBI), The Ohio State University
Thomas, Evelyn ethomas@mbi.osu.edu MBI - Long Term Visitor, Howard University
Tian, Paul tianjj@mbi.osu.edu Mathematical Biosciences Institute (MBI), The Ohio State University
Weinstein, John weinstein@dtpax2.ncifcrf.gov Genomics & Bioinformatics Group, National Institutes of Health
Willett, Peter p.willett@sheffield.ac.uk Information Studies, University of Sheffield
Xu, Yuan yxu11@uic.edu Mathematics, Statistics and Computer Science, University of Illinois
Yamori , Takao yamori@jfcr.or.jp Division of Molecular Pharmacology, Cancer Chemotherapy Center, Japanese Foundation for Cancer Research
Young, Stan young@niss.org NISS