Welcome to Achint Sethi's Homepage

Columbia University
Department of Electrical Engineering
Systems Biology in the Department of Electrical Engineering
Asst. Prof. Dennis Vitkup
Prof. Dmitris Anastassiou

Achint Sethi, Ph.D. student (Electrical Engineering)

Center for Computational Biology and Bioinformatics
Columbia University Irving Cancer Research Building
1130 St. Nicolas Avenue, Room 802
New York NY 10032

E-mail: as2015 AT columbia [dot] edu
RESEARCH GUIDANCE:
Asst. Prof. Dennis Vitkup, Department of Biomedical Informatics
No photograph on file

RESEARCH

  • The kinetic parameters of enzymatic rate equations are usually determined by in vitro experiments even though it is universally acknowledged that the conditions in the cell differ from those in the test tube. Therefore, I investigated the possibility of determining in vivo parameters as opposed to in vitro parameters from experimental measurements of metabolite concentrations and fluxes. I found that high nonlinearity of rate equations with respect to the parameters does not hinder the computation of parameters. Thus, the proposed method is mathematically feasible for at least all rate equations [under investigation] with six or fewer parameters. Whether or not this approach is experimentally feasible would be tested later (probably with experimental data for yeast glycolysis from our potential collaborator). The proposed method is high-throughput in the sense that hundreds of parameters can be determined with only a handful of experiments.
  • I am currently looking at log-likelihoods of yeast glycolysis models. The purpose of the investigation is to determine which pathway branches are significant and which are not.
  • The analysis of a stochastic model of Tat fluctuations in HIV-1 would also be in the pipeline soon.

PROFESSIONAL AFFILIATIONS

  • New York Academy of Sciences (NYAS)

WEBSITE MAINTENANCE

The contents are edited by Achint Sethi
The webpage was last updated on December 15, 2006