Computation in Drug Discovery: Current Applications and Emerging Opportunities

Summer 2004

This seminar series will bring together industry professionals and academic researchers to focus on practical computational methods and tools for drug discovery. Industry presentations will detail current approaches (and bottlenecks), while academic presentations will highlight new methods that may be ready for prime-time. This will be a great forum for networking with others who share an interest in applying computation to practical problems in drug discovery.

These seminars are partially supported by the Princeton Institute for Computational Science and Engineering (PICSciE)

Organizers: Carl Kingsford, Elena Zaslavsky and Steven Kleinstein

Computational Approaches for Accelerating Drug Discovery
William Welsh, Director, The UMDNJ Informatics Institute

Applications of Modeling and Simulation to Drug Development at Novartis
Anna Georgieva, Modeling and Systems Biology, Biomarker Development, Novartis

Applications of Machine Learning in Systems Biology
Chris Wiggins, Columbia University

Understanding Molecular Recognition to Make Rational Drug Design More Rational
Paul Axelsen, Departments of Pharmacology, Biochemistry and Biophysics, and Medicine/Infectious Diseases, University of Pennsylvania School of Medicine

New Algorithms for the Analysis of Massive Data Sets; Applictions in Computational Chemistry and Biology
Dimitris Agrafiotis, Johnson & Johnson Pharmaceutical Research & Development

Use of Drug Discovery in the Mitigation of Biowarfare Threats
Charles Karney, Sarnoff Corporation

Functional Profiling of Differences in Related Cancers Using Gene Expression Data
Gustavo Stolovitzky, Functional Genomics & Systems Biology, IBM T.J.  Watson Research Center