Speaker Jamie MacLennan, Wei Wang, and Zhaohui Tang
Affiliation Microsoft; University of North Carolina at Chapel Hill; Microsoft
Date recorded 18 July 2005
With the data explosion occurring in sciences, utilizing tools to help analyze the data efficiently is becoming increasingly important. This session of the 2005 Microsoft Research Faculty Summit describes tools included with Microsoft SQL Server (Yukon), and Wei Wang describes the MotifSpace project—a comprehensive database of candidate spatial protein motifs based on recently developed data mining algorithms.
One of the next great frontiers in molecular biology is to understand and predict protein function. Proteins are simple linear chains of polymerized amino acids (residues) whose biological functions are determined by the three-dimensional shapes that they fold into. A popular approach to understanding proteins is to break them down into structural sub-components called motifs. Motifs are recurring structural and spatial units that are frequently correlated with specific protein functions.
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