Campuses:

Protein sequences

Monday, July 20, 2015 - 9:00am - 9:50am
Haisheng Ren (University of Minnesota, Twin Cities)
Arabidopsis thaliana UV RESISTANCE LOCUS8 (UVR8) is a photoreceptor protein that mediates light responses to Ultavilet (UV)-B (280-315 nm) of the solar spectrum in plant. Upon UV-B irradiation, the UVR8 dimers will spontaneously dissociate into monomers. We have developed a multistate density functional theory to model the excited-state electron transfer process and the subsequent dimer dissociation.
Thursday, May 21, 2009 - 9:00am - 9:40am
Daniel Zuckerman (University of Pittsburgh)
Conformational changes in proteins are intrinsic to almost every function, but sampling such changes remains one of the most difficult bio-computational problems. The challenge lies on two levels. First, algorithms which can efficiently focus computer time on the correct path ensemble are necessary. Second, even if perfect path-sampling algorithms were available, intrinsic fast timescales of protein motions are too costly for atomistic models; coarse-grained models are therefore required in most systems of interest.
Wednesday, December 10, 2008 - 9:00am - 9:40am
William Jorgensen (Yale University)
No Abstract
Tuesday, February 14, 2012 - 10:15am - 11:15am
Natasha Przulj (Imperial College London)
Sequence-based computational approaches have revolutionized biological understanding. However, they can fail to explain some biological phenomena. Since proteins aggregate to perform a function instead of acting in isolation, the connectivity of a protein interaction network (PIN) will provide additional insight into the inner working on the cell, over and above sequences of individual proteins. We argue that sequence and network topology give insights into complementary slices of biological information, which sometimes corroborate each other, but sometimes do not.
Friday, May 30, 2008 - 9:00am - 9:50am
John Parkinson (The University of Utah)
Motile bacteria seek optimal living habitats by following gradients of attractant and repellent chemicals in their environment. The signaling machinery for these chemotactic behaviors, although assembled from just a few protein components, has extraordinary information-processing capabilities. Escherichia coli, the best-studied model, employs a networked cluster of transmembrane receptors to detect minute chemical stimuli, to integrate multiple and conþicting inputs, and to generate an ampliÞed output signal that controls the cell's þagellar motors.
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