Statistical Inference of Protein Structure and Function

author: Michael I. Jordan, Department of Electrical Engineering and Computer Sciences, UC Berkeley
published: Jan. 12, 2011,   recorded: December 2010,   views: 1339
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Description

The study of the structure and function of proteins serves up many problems that offer challenges and opportunities for computational and statistical research. I will overview my experiences in several such problem domains, ranging from domains where off-the-shelf ideas can be fruitfully applied to domains that require new thinking. These are:

  1. the identification of active sites in enzymes;
  2. the modeling of protein backbone configurations;
  3. the prediction of molecular function based on phylogeny;
  4. alignment and phylogenetic inference.

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Download slides icon Download slides: nips2010_jordan_sip_01.pdf (1.9┬áMB)


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