Rajarshi Guha wrote on the
Chemical Computation List:
Chemical Systems Biology: Integrating Chemistry and Biology for
Network Models
236th ACS National Meeting
Philadelphia, August 17-21, 2008
CINF Division
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Dear Colleagues,
Josef Scheiber and I are organizing a symposium focusing on the use of biological networks and their models for the purposes of drug discovery. Traditionally, such models have been applied to large scale biological systems such as protein-protein interaction networks. Recently, there has been increased interest in the study of these networks to gain a global understanding of biological systems and the impact of small molecules to them in the context of drug discovery. As a result, it has become important that such models integrate small molecules with the usual biological systems. By leveraging the power of established cheminformatics methods along with the network models we get closer to the goal of "chemical systems biology", the full integration of chemical and biological data in the development of better in silico-methods for drug discovery.
We invite you to submit contributions that address various computational aspects of this approach including, but not limited to: network construction, integration of multiple data sources in network models, drug repurposing, target identification, polypharmacology, incorporation of chemical structure/similarity into network models, bridging chemical structure and biological structure based network models. Case studies where computational network models have provided experimental insight are also welcome.
We would also like to point out that sponsorship opportunities are available.
Please use the on-line abstract submission system (OASYS) for submitting your abstract (http://oasys.acs.org/oasys.htm). OASYS will be accepting abstracts between 28th January and 24th March, 2008.
Please contact Josef or myself if you have any questions.
Thanks,
Josef Scheiber Rajarshi Guha
Novartis Indiana University
The CINF division of the American Chemical Society is oriented at chemical information (molecular really, so including metabolites) and includes chemoinformatics, and increasingly bioinformatics.
