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C. Anthony Hunt, PhD

TitleProfessor
InstitutionUniversity of California San Francisco
DepartmentBioengineering
Address513 Parnassus Ave
San Francisco CA 94143
Phone415-476-2455
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    Georgia Institute of Technology1970BS in Chemistry with Highest Honors
    1984American Association for the Advancement of Science

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    My research is motivated by this question. What are the causal mechanisms that link induced changes in molecular level events to emergent changes in phenotype at the organism level? We need new ways to explore and challenge plausible answers. So doing will facilitate moving away from empirical approaches to biomedical research and reliance on correlational methods toward new approaches based on improving mechanistic knowledge and insight.
    We need ways to build and challenge experimentally (falsify) many alternative, nested, networked mechanistic hypotheses. Doing so using established, bottom-up, computational mathematical models is problematic at best. New methods and new approaches are needed. My search started in earnest circa 1997. We have now developed and demonstrated the scientific power of a novel, fundamentally new class biomedical simulation models along with methods to challenge and iteratively improve plausible, explanatory mechanisms. We adapted concepts and advanced methods from several domains. I call the process the synthetic method of modeling and simulation (SM). I say synthetic because standalone biomimetic components are plugged together in specific ways to form hierarchical, multiscale biomimetic mechanisms in software. I refer to the models as analogues because even though they exist only in silico, their phenotypes can be made to increasingly overlap more of the referent, biological phenotype. They are designed to evolve to become embodiments of most of what we know (or think we know) about aspects of specific organisms and their components.


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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Hunt CA, Kennedy RC, Kim SH, Ropella GE. Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity. Wiley Interdiscip Rev Syst Biol Med. 2013 Jul-Aug; 5(4):461-80. PMID: 23737142; PMCID: PMC3739932.
    2. Hunt CA, Ropella GE, Lam Tn, Gewitz AD. Relational grounding facilitates development of scientifically useful multiscale models. Theor Biol Med Model. 2011 Sep 27; 8:35. PMID: 21951817; PMCID: PMC3200146.
    3. Hunt CA, Ropella GE, Lam TN, Tang J, Kim SH, Engelberg JA, Sheikh-Bahaei S. At the biological modeling and simulation frontier. Pharm Res. 2009 Nov; 26(11):2369-400. PMID: 19756975.
      View in: PubMed
    4. Hunt C, Ropella GE. Using an in silico liver to evaluate a hepatic enzyme induction mechanism. Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:2415-8. PMID: 19163189.
      View in: PubMed
    5. Hunt CA, Ropella GE, Yan L, Hung DY, Roberts MS. Physiologically based synthetic models of hepatic disposition. J Pharmacokinet Pharmacodyn. 2006 Dec; 33(6):737-72. PMID: 17051440.
      View in: PubMed
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