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Keynote Speech


Chandrajit Bajaj

CAM Chair in Visualization Professor of Computer Sciences, Department of Computer Sciences, Institute for Computational Engineering and Sciences, University of Texas at Austin

 

Volumetric Filtering, Structure Modeling and Visualization of MacroMolecular Assemblies

Structural genomics initiatives target solving structures of most existing protein folds by x-ray crystallography and NMR spectroscopy, such that most of the remaining proteins can be modeled with useful accuracy based on their similarity to the known structures. While 3D structures of individual proteins or small complexes, such as most of the Protein Data Bank entries, provide important information, they do not necessarily yield the "full picture" of a functional biological complex. The study of large macromolecular complexes, such as viruses, ion channels, the ribosome and other macromolecular machines of various types, offer a more complete structural and functional description of the protein machinery. In addition to x-ray crystallography, electron cryomicroscopy (cryoEM) imaging of single particles has become indispensable revealing the structures of large complexes at subnanometer resolutions (5 - 10). As recent advancements have propelled structure determination by cryoEM to subnanometer resolutions, the analysis and visualization of the assemblies still remains relatively undeveloped. In this lecture, I shall present volumetric filtering, feature extraction and the modeling of large macromolecular complexes from subnanometer resolution volumetric data.

Short Biography

Chandrajit Bajaj is the CAM Chair in Visualization Professor of computer sciences at the University of Texas at Austin, as well as the director of the Center for Computational Visualization, in the Institute for Computational and Engineering Sciences (ICES). He graduated from the Indian Institute of Technology, Delhi with a Bachelor's Degree in Electrical Engineering, in 1980 and received his M.S. and Ph.D. degrees in Computer Sciences from Cornell University, in 1983, and 1984 respectively. Prior to the University of Texas, Bajaj was a professor of computer sciences at Purdue University and director of the Purdue center for image analysis and visualization. Bajaj's research is in the areas of computer graphics, geometric modeling and data visualization. In particular, he develops novel approaches to representing, displaying and interacting with computer models of physical domains with associated phenomena. Current approaches include the use of combinatorial, and algebraic geometry to devise data structures that support multi-resolution approximations of very large domains and multiple function fields; an integrated framework for domain modeling, physics calculations and interrogative visualization mapped onto high performance computational testbeds. Bajaj has over 170 publications, has written one book and edited three other books in his area of expertise. He is on the editorial boards for the International Journal of Computational Geometry and Applications, and the ACM Transactions on Graphics. He is on numerous national and international conference committees and has served as a scientific consultant to national labs and industry.

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