SBIR-STTR Award

Estimation of the primary parameters like IC 50 in traditional dose-response modelsmay fail or lead to misleading results when the observations are non-onotonic due to drugresistance or virus mutation in various biomedical lab research. The objective of this project isto develop a novel approach to assess dose response relationship, which is applicable to generalpharmacologic, toxicologic, or other biomedical studies that exhibit a non-monotonic dose-response relationship, and to develop inference tools. User-friendly software, that can handleboth monotonic and non-monotonic dose-response relationships, will be developed and availableto the scientific community.

Thegoal is to develop asoftwaretool that implementsa novelapproach applicableto fitgeneral pharmacologic, toxicology, or other biomedical data, that mayexhibita non-monotonic dose-responserelationship for which thecurrent parametricmodels fail. Thesoftwareexplores dose-responserelationships using both monotonicand non-monotonicmodels,and estimates theassociated doseresponsecurves,which can further be used to obtain various important parameters such as IC50, EC50, ED50,LD50, Km, Vmax,and AUC. The tool can be used for hormesis doseresponsecurves. In toxicology, hormesis isaspecial doseresponsefeaturecharacterized by low dose stimulation and high doseinhibition.Furthermore, thetool can model U-shaped doseresponserelationships frequently observed in toxicologyand epidemiology studies