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Computational Approaches for Biological Structure Analysis and Function Simulation
Dr. Zeyun Yu
Abstract The first part of this talk is focused on 3D structure determination and analysis at molecular and cellular scales using image processing and cryo-electron microscopy (cryo-EM) imaging techniques. In particular, I shall talk about the structure analysis of large bio-molecular complexes (LBC's), such as ribosomes and viruses that are assemblies of dozens or even thousands of structural/functional bio-molecular units (e.g., proteins, RNAs). The cryo-EM technique, coupled with 3D image reconstruction, has been applied to reveal the structures of LBC's at medium to subnanometer resolutions (20-5Å). While numerous LBC structures have been solved, little efforts had been made towards automatic and quantitative interpretations of the reconstructed 3D maps. To this end, I shall present computational approaches on structural analysis of reconstructed 3D virus maps, including symmetry detection, subunit segmentation and alignment, secondary structure identification, and quasi-atomic structure modeling. In the second part of this talk, I shall present our recent work on mathematical modeling and numerical simulation of calcium signaling, buffering, and diffusion in cardiac muscle cells. A tight coupling between cell structure, ionic fluxes and intracellular Ca2+ transients underlies the regulation of cardiac muscle functions. Alterations in the cell geometry, Ca2+ channel distribution and pathways involved in these coupled processes are now recognized to be primary mechanisms of cardiac dysfunctions. We developed 3D continuum models in cardiac muscle cells to investigate how the distribution of Ca2+-related membrane proteins (L-type Ca2+ channel clusters, Na+/Ca2+ exchangers, membrane Ca2+ leaks) might affect Ca2+ signals in terms of amplitude, time-course and spatial features. As part of our future work, I shall also introduce how the molecular and cellular structures will be used to construct and sophisticate the geometric models of cardiac muscle cells in order to achieve more realistic simulations.
Short BioZeyun Yu is currently a postdoctoral scholar at University of California, San Diego in the departments of Mathematics, Pharmacology, and Chemistry & Biochemistry. He received the B.S. degree in Mathematics from Peking University, Beijing, China, in 1996 and the M.S. degree in Pattern Recognition and Machine Intelligence from Chinese Academy of Sciences, Beijing, China, in 1999. Since then, he studied in Department of Computer Sciences at The University of Texas at Austin in the areas of image analysis and visualization at molecular, cellular, and tissue levels, and was granted the PhD degree in 2006. His research interests span from algorithms such as image analysis, pattern recognition, visualization, and numerical simulation, to applications such as structural and functional biology and medical imaging especially for cardiovascular diseases and cancer treatments.
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