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FACULTY

C. Anthony Hunt

Professor, Bioengineering and Therapeutic Sciences
Core Member, UCB/UCSF Graduate Group in Bioengineering

HSE 1119
mailcode: Box 0446
(415) 476-2455
fax: (415) 514-2008
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http://biosystems.ucsf.edu

Membership effective July 1990

Research Interests

Computational systems biology (in silico biology; unraveling biological complexity) with a focus on drug delivery and tissue engineering; state-of-the art modeling and simulation methods

Research Summary

Research in the BioSystems Group (the Hunt Lab) can be broadly defined as computational systems biology with a focus on therapeutic engineering. We unravel biological complexity to understand and discover the mechanisms, principles of operation, and emergent properties that give rise to normal and abnormal system level phenotype. We map molecular level events to system level phenotype: doing so will enable us to understand the consequences of new therapeutic interventions from the perspective of drug delivery, tissue engineering, translational research, and individually optimized therapies. We build in silico analogues of in vitro and in vivo research models, with the expectation of extending them to patients. We develop and research state-of-the art, multi-scale, multi-attribute, hierarchical, agent-based modeling methods.

Selected Publications

C.A. Hunt, G.E.P. Ropella, L. Yan, D.Y. Hung, and M.S. Roberts. Physiologically Based Synthetic Models of Hepatic Disposition. J Pharmacokin Pharmacodyn 33(6): 737-72, 2006.

M.R. Grant, K.E. Mostov, T.D. Tlsty, and C.A. Hunt. Simulating Properties of In Vitro Epithelial Cell Morphogenesis. PLoS Computational Biology 2(10): e129, 1193-1209, 2006.

Y. Liu and C.A. Hunt. Mechanistic study of the interplay of intestinal transport and metabolism using the synthetic modeling method. Pharm Res. 23(3): 493-505, 2006.

Y. Liu and C.A. Hunt. Studies of Intestinal Drug Transport Using an In Silico Epithelio-Mimetic Device. Biosystems 82(2):154-167, 2005.

A. Qutub and C.A. Hunt. Glucose transport to the brain: A systems model. Brain Research Rev 49(3): 595-617, 2005.

 

 

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