|K. V. Venkatesh
B.Tech. I.I.T. Madras, 1989.
Ph.D., Purdue University, 1993
|Details of Research Interests:
Biochemical Engineering: Large amounts of genomic and proteomic data for various organisms are being generated by means of "High Throughput" experiments. Most of these data are availble as databases in public domain. Given this explosion and availability of biological data, computational analysis in Biological sciences has become a necessity. There is hope that this will increase applications in biotechnology, resulting in a strong need for quantification of biological systems. Biological systems are highly interconnected and hierarchical with unique structures, which are being discovered by molecular biologists. Our group is interested in developing novel computational and theoretical methods to analyze biological structures and interpret the massive volumes of data generated by experiments.
Biotechnology: We have recently quantified the response of Mitogen Activated Protein Kinase (MAPK) by representing the MAPK cascade structure in a modular form. The robustness of the cascade structure and the dynamic response of the MAPK was analyzed through quantification of the system. The system modeling of genetic switches (regulation) esp. in eucaryotic system is complex. The quantification of the genetic regulation gives ways to manipulate genetic switches. We have developed a model for GAL4p mediated expression of GAL genes in Saccharomyces cerevisiae. Such studies will also help in providing insights into the evolution of controls in nature.
Metabolic Flux Analysis: Metabolic flux analysis as a method can be used to optimize production of chemicals at the cell level. As organisms screened from nature are typically optimized for growth. We are using such techiques to optimize diacetyl production from L. casei. We have used flux analysis to illustrate the existence of GABA shunt in A. niger. Currently, we are trying to link flux analysis to microbial growth models. Such models will help in optimizing the performance and operation of bioprocesses. For example, we have attempted to develop optimal feed strategy to operate simultaneous saccharification and starch in a fed-batch mode using structured models.
Food Engineering: Fundamental study in applying transport phenomena to store foods in nitrogen and carbon dioxide (CAS) has been developed. Effects of nitrogen/CO2 on microbial load, quality of foods has been assessed.