The Quantitative Systems Pharmacology and Toxicology Research Group

News

Brad Reisfeld developed and chaired a session at the annual meeting of the American Association of Pharmaceutical Scientists focused on the use of Quantitative Systems Pharmacology entitled “Are in silico approaches useful in mitigating and treating drug overdose?”

Renee Lake presented a poster, “Pharm Cat: a physiologic-based pharmacokinetic (PBPK) model to study virtual drug dosing in cats” at the Annual Meeting of the Society of Biomedical Engineering.

Brad Reisfeld, with colleagues Frédéric Bois (INERIS), Weihsueh Chiu (Texas A&M University), Cathie Olschanowsky (Boise State University), and Sudipto Ghosh (Colorado State University), were awarded a grant from the US Food and Drug Administration to support a project entitled “Enhancing the reliability, efficiency, and usability of Bayesian population PBPK modeling”. Funding from this grant will allow the project team to develop an integrated software platform that is expected to lead to more widespread adoption of the pop-PBPK approach and provide scientists with an effective tool to evaluate and improve the efficacy and safety of drugs.

The paper Characterizing the Effects of Race/Ethnicity on Acetaminophen Pharmacokinetics Using Bayesian Physiologically Based Pharmacokinetic Modeling by Todd Zurlinden and Brad Reisfeld was selected as a finalist in the best paper competition of the Biological Modeling Specialty Section of the Society of Toxicology.

Todd Zurlinden, a recent Ph.D. graduate of the group and EPA Science to Achieve Results (STAR) Fellowship recipient, is now a post-doctoral fellow at the National Center for Computational Toxicology.

Brad Reisfeld and Arthur Mayeno edited a two-volume book as part of the Humana Press “Methods in Molecular Biology” series entitled “Computational Toxicology”. It is now available from Springer and major bookstores, including amazon.com.

Who We Are

The Quantitative Systems Pharmacology and Toxicology (QSPT) Research Group at Colorado State University is a diverse team of faculty and students that focuses on developing and applying rigorous mathematics, computational tools, and targeted experimentation to study the disposition and effects of toxicants, drugs, and other foreign chemicals on the body.

Through cross-disciplinary collaborations, we also explore linkages between human, animal, and environmental health and work to create technologies to promote wellness across these domains.

More details about the people in our group can be found here.

Contact

If you are interested in joining or collaborating with our group, please contact Brad Reisfeld.