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BIOCOMP'08 Keynote - Prof. Vladimir N. Uversky

Last modified 2008-06-21 09:33

"Unfoldomics" of Human Diseases
Professor Vladimir N. Uversky
Senior Research Professor
Indiana University School of Medicine, Indianapolis, Indiana, USA
Russian Academy of Sciences, Moscow, Russia

Date: July 15, 2008
Time: 12:50 PM
Location: Ballroom 5


Abstract

    Intrinsically disordered proteins lack stable tertiary and/or secondary structure under physiological conditions in vitro. They are highly abundant in nature, being often involved in functions associated with regulation, recognition, signaling and control. Functions of intrinsically disordered proteins may arise from the specific disorder form, from inter-conversion of disordered forms, or from transitions between disordered and ordered conformations. Intrinsically disordered proteins are key players in protein-protein interaction networks and are highly abundant among hubs. Numerous intrinsically disordered proteins are involved in the pathogenesis of such diseases as cancer, cardiovascular disease, amyloidoses, neurodegenerative diseases, diabetes and others. Overall, there is an intriguing interconnection between intrinsic disorder, cell signaling and human diseases, which suggests that many diseases may result not only from protein misfolding, but also from misidentification and missignaling. Therefore, new strategies are required to implement intrinsically disordered proteins as novel targets for drugs modulating protein-protein interactions.

Biography

    Dr. Uversky received broad training, with an MS in Physics (Leningrad State University, Russia, 1986), a PhD (Moscow Institute of Technical Physics, 1991) and a DSc in Biophysics (Institute of Experimental and Theoretical Biophysics, Russian Academy of Sciences, 1998) and with pre- and postdoctoral research in Structural Biology, Biochemistry and Biophysics (1991-1998, Institute of Protein Research, Russian Academy of Sciences). Dr. Uversky uses molecular biophysics methods to study protein folding, misfolding and non-folding. He has found that many biologically active proteins do not have rigid structure and are often involved in human diseases. He is known for his work on structural characterization of partially folded and intrinsically disordered proteins and development of novel tools to study protein folding,misfolding and non-folding. While he continues to use biophysics, more recently Dr. Uversky has focused on the development and use of bioinformatics methods for the study of intrinsically disordered proteins.
Academic Co-Sponsors

Computational Biology and Functional Genomics Laboratory, Harvard University, Cambridge, Massachusetts, USA


International Society of Intelligent Biological Medicine

Horvath Laboratory, University of California, Los Angeles (UCLA), USA
Minnesota Supercomputing Institute, University of Minnesota, USA
Functional Genomics Laboratory, University of Illinois at Urbana-Champaign, USA
BioMedical Informatics & Bio-Imaging Laboratory, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
Intelligent Data Exploration and Analysis Laboratory, University of Texas at Austin, Austin, Texas, USA
Biomedical Cybernetics Laboratory, HST of Harvard University and MIT, USA
Center for the Bioinformatics and Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, USA
Harvard Statistical Genomics and Computational Laboratory, Harvard University, Cambridge, Massachusetts, USA
Bioinformatics & Computational Biology Program, George Mason University, Virginia, USA
Hawkeye Radiology Informatics, Department of Radiology, College of Medicine, University of Iowa, Iowa, USA
Medical Image HPC & Informatics Lab (MiHi Lab), University of Iowa, Iowa, USA
The University of North Dakota, Grand Forks, North Dakota, USA
PSU - Prince Sultan University, Saudi Arabia
Institute for Informatics Problems of the Russian Academy of Sciences, Moscow, Russia.
NEMO/European Union at Institute of Discrete Mathematics and Geometry, TU Vienna

Corporate Sponsors






Other Co-Sponsors

High Performance Computing for Nanotechnology (HPCNano)

International Technology Institute (ITI)


GRIDtoday


HPCwire

Hodges' Health



 


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