Scientists
Sudin Bhattacharya, Ph.D.
Education
Ph.D., Mechanical Engineering, University of Michigan, Ann Arbor, 2006
M.S., Mechanical Engineering, University of Kentucky, 1999
B.S., Mechanical Engineering, Jadavpur University, Kolkata, India, 1997
Research
My research is focused on computational modeling of signal transduction and gene regulatory networks, and the perturbation of these networks by toxic compounds and drugs. In collaboration with Drs. Qiang Zhang, Melvin Andersen, Rory Conolly (EPA) and Norbert Kaminski (Michigan State University), I am developing deterministic and stochastic models of B cell differentiation and the disruption of this process by the environmental contaminant TCDD. I am also working with Dr. Harvey Clewell, Dr. Paul Watkins and Dr. Alison Harrill on spatial modeling of the liver to study idiosyncratic drug-induced liver injury. More broadly, we are developing and using a suite of “systems biology” tools based on reaction kinetics, nonlinear dynamics and control theory to enhance mechanistic understanding of dose-response relationships in terms of cellular signaling and transcriptional regulatory networks.
Selected Publications
S. Bhattacharya, R. B. Conolly, N. E. Kaminski, R. S. Thomas, M. E. Andersen and Q. Zhang, A Bistable Switch Underlying B Cell Differentiation and Its Disruption by the Environmental Contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin. Toxicological Sciences 115(1):51-65 (2010).
http://toxsci.oxfordjournals.org/cgi/content/short/115/1/51
Q. Zhang, S. Bhattacharya, D. E. Kline, R. B. Crawford, R. B. Conolly, R. S. Thomas, N. E. Kaminski and M. E. Andersen, Stochastic Modeling of B Lymphocyte Terminal Differentiation and Its Suppression by Dioxin. BMC Systems Biology 4:40 (2010).
http://www.biomedcentral.com/1752-0509/4/40
Q. Zhang, S. Bhattacharya, M. E. Andersen and R. B. Conolly, Computational Systems Biology and Dose-Response Modeling in Relation to New Directions in Toxicity Testing. Journal of Toxicology and Environmental Health Part B 13(2):253 (2010).
http://www.informaworld.com/smpp/content~db=all~content=a923252202
S. Bhattacharya, Q. Zhang and M.E. Andersen, Bistable Signaling Motifs and Cell Fate Decisions, in Quantitative Modeling in Toxicology, Krishnan K. and Andersen M.E. (ed.), John Wiley & Sons (2010).
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470998091,descCd-tableOfContents.html
Q. Zhang, S. Bhattacharya, C.G. Woods and M.E. Andersen, Ultrasensitive Response Motifs in Biochemical Networks, in Quantitative Modeling in Toxicology, Krishnan K. and Andersen M.E. (ed.), John Wiley & Sons (2010).
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470998091,descCd-tableOfContents.html
M.E. Andersen, Q. Zhang and S. Bhattacharya, Gene and Protein Expression – Modeling Nested Motifs in Cellular and Tissue Response Networks, in Quantitative Modeling in Toxicology, Krishnan K. and Andersen M.E. (ed.), John Wiley & Sons (2010).
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470998091,descCd-tableOfContents.html
M.E. Andersen, S. Bhattacharya and W. Hanneman, Molecular Toxicology – A Risk Assessment Perspective, in Comprehensive Toxicology, 2nd edition, McQueen C. (ed.), Elsevier Science, Oxford (in press, 2010).
S. Bhattacharya, Q. Zhang and M.E. Andersen, The Role of Core Biological Motifs in Dose-Response Modeling: An Example with Switch-Like Circuits, in Systems Biology in Drug Discovery and Development, Young D. and Michelson S. (ed.), John Wiley & Sons (in press, 2010).
Q. Zhang, Y.M. Tan, S. Bhattacharya and M.E. Andersen, Computational Systems Biology Modeling of Dosimetry and Cellular Response Pathways, in Drug Efficacy, Safety, and Biologics Discovery: Emerging Technologies and Tools, Ekins S. and Xu J.J. (ed.), John Wiley & Sons, Hoboken, New Jersey (2009).
http://www3.interscience.wiley.com/cgi-bin/summary/122212402/SUMMARY
S. Bhattacharya and J. Kieffer, Molecular Dynamics Simulation Study of Growth Regimes during Polycondensation of Silicic Acid: from Silica Nanoparticles to Porous Gels, Journal of Physical Chemistry C 112 (6), 1764 -1771 (2008).
http://pubs.acs.org/doi/abs/10.1021/jp073808f
S. Bhattacharya and J. Kieffer, Fractal dimensions of silica gels generated using reactive molecular dynamics simulations, Journal of Chemical Physics 122, 094715 (2005).
http://jcp.aip.org/jcpsa6/v122/i9/p094715_s1