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UA Life Science Research - BioGate
Bane Vasic
Professor of Electrical Engineering and Mathematics
Contact Information
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Address: Department of Electrical and Computer Engineering
1230 East Speedway Boulevard
Tucson, AZ 85718
Phone: 520-626-5550
E-Mail: vasic@ece.arizona.edu
Degrees
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Ph.D., University of Nis, Serbia 1994
Department Affiliations
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Electrical & Computer Engineering, Mathematics, BIO5 Institute
Research Areas
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Bioinformatics, Biomathematics, Computational Biology, Genomics
Research Interests
Maintaining integrity of genetic material is vital to the survival of species, and is achieved through (DNA) repair, a process in the cell in which DNA-damage is continually monitored and corrected. For example, ionizing radiation can induce single and double strand breaks, the most dangerous type of damage, which if uncorrected leads to cell death, while inaccurate repair can be mutagenic. Professor Vasic's lab is working on establishing a framework for rigorous treatment of genetic error correction, or more specifically, for inferring the error correction coding system of the living cell and describing its functionality quantitatively and algorithmically.
This framework is based on probabilistic graphical models that are used in error correction theory to design codes enabling transmission of information in the presence of very high noise levels and ensuring fault-tolerance and reliable storage of information in systems built of faulty components, which precisely corresponds to the DNA-repair scenario. By combining experimental data with existing knowledge of gene-protein and protein-protein interactions, the researchers in Professor Vasic's lab are working on creating global functional interaction networks of genes involved in DNA repair. This enables a study of the error correction algorithms and their dynamics, resulting in a formal logical and causal description of interaction among genes, proteins and inducible factors, or a genetic wiring diagram. Such a wiring diagram can be viewed as a digital logic circuit of a genetic decoder. They study the decoder structure and behavior, and more particularly: (i) inferring the decoder from the existing knowledge and new experiments, (ii) predicting the dynamics of the error control system, and (iii) controlling the dynamics using external factors
Selected Publications
Stepanov MG, Chernyak V, Chertkov M, Vasic B. Nov 2005. Diagnosis of weaknesses in modern error correction codes: a physics approach. Phys Rev Lett, 95:228701
Chernyak V, Chertkov M, Stepanov MG, Vasic B. Nov 2004. Error correction on a tree: an instanton approach. Phys Rev Lett, 93:198702
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