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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
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DTSTART:20141117T151500Z
DTEND:20141117T160000Z
LOCATION:288-89
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Protein folding is one of the biggest challenges in modern biology with both theoretical and practical significance. It is about finding the shape of proteins, which is key to understanding the mechanisms of life, to finding new drugs to combat disease, and to designing new proteins with desired functions not currently found in nature. Diseases associated with proteins not working properly include cancer
, Alzheimer’s, and mad cow disease. The complexity of the protein-folding problem requires a multidisciplinary and community wide approach. To this end, scientists have tried different social-based approaches to advancing protein folding: They have tried a competition called CASP (Critical Assessment of techniques for protein Structure Prediction) and they have developed a computer game to harness the human intuition to guess the correct shapes. More recently, we have begun using social media and science gateways as a way to bring together labs and individuals from all over the world to a “virtual discussion table”. These large-scale efforts have created new challenges that require HPC and data science. In this talk I’ll discuss some lessons that we’ve learned and some of the challenges that still remain.
SUMMARY:Lessons from Protein Folding
PRIORITY:3
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