Welcome to Achint Sethi's Homepage |
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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
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RESEARCH GUIDANCE:
Asst. Prof. Dennis Vitkup,
Department of Biomedical Informatics
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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.
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PROFESSIONAL AFFILIATIONS
- New York Academy of Sciences (NYAS)
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WEBSITE MAINTENANCE
The contents are edited by Achint Sethi
The webpage was last updated on December 15, 2006
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