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Research Abstracts Online
January 2008 - March 2009

University of Minnesota Twin Cities
College of Biological Sciences and Medical School
Department of Biochemistry, Molecular Biology, and Biophysics

PI: Gianluigi Veglia

Structural Modeling of Membrane Proteins Driven by NMR Data

Membrane proteins play vital roles in many cellular processes such as signal transduction, ion translocation, and homeostasis. Despite their importance, the structures and dynamics of membrane proteins are still poorly understood due to experimental difficulties and lack of computational methods. Nuclear magnetic resonance (NMR) is an important technique to study membrane proteins in lipid environments. Computer modeling can help interpret NMR data and further build models in agreement with this data. This project focused on developing new computational methods to model membrane protein structures and study their dynamic properties.

Group Members

Andrew Bierbaum, Graduate Student
Kim Ha, Graduate Student
Larry Masterson, Graduate Student
Lei Shi, Graduate Student
Nathan Traaseth, Graduate Student