BATS

Date/Time: 

Apr 28, 2017 - 12:00 PM EDT

Title: 

Population-level Tumor Growth Inhibition Modeling

Abstract: 

Modeling population PK/PD is an essential step in the design of any therapeutic. However, selecting and parameterizing a model given experimental results from a small sample of individuals remains challenging. Further, individuals exhibit variability in distribution, clearance, and efficacy. We refine a model for a proposed anti-tumor therapeutic from in vivo mouse data by combining prior knowledge with a greedy optimal experimental design algorithm to maximize model identifiability with respect to clinically relevant metrics of interest.

Title: 

Building Single-cell Biomolecule Sensors

Abstract: 

Mammalian synthetic biology aims at building genetic circuits that respond to externally administered signals or endogenous disease biomarkers. Sensors have been developed for a number of external signals, however intracellular endogenous sensors are limited to miRNA detection. We are therefore developing genetically-encoded, sensing-actuation devices that respond to other species such as proteins, and actuate a customizable output. These sensors can be integrated into larger gene circuits or may find use in basic biology studies.