We now know all predicted open reading frames (ORFs) from a multitude of genomes—a next great hurdle in biomedical science will be to define the function of all encoded proteins, as well as the consequences of gene variants and mutations. This meeting will address how this challenge of functional genomics is being met by emerging strategies for untargeted metabolite profiling. Notably, many predicted ORFs encode "hypothetical proteins", meaning that their products are a complete black box in terms of function. Even for functionally annotated gene proteins, annotation is often incomplete or incorrect. Conversely, despite the common view that metabolism is well understood, 30-40% of metabolic activities in most organisms are still without known enzymes. Pioneering research will be presented by investigators who are using untargeted metabolomics in attempt to define the activities of ill-defined and undefined enzymes. Beyond providing global insights into metabolism, an important translation of this new knowledge will be discovery of new therapeutic targets and diagnostic approaches that fuel drug development for decades to come.
This event will also be broadcast as a webinar.
Please note: Transmission of presentations via the webinar is subject to individual consent by the speakers. Therefore, we cannot guarantee that every speaker's presentation will be broadcast in full via the webinar. To access all speakers' presentations in full, we invite you to attend the live event in New York City, where possible.
Supported by an educational grant from Celgene Corporation
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Networking reception to follow.