Department of

Chemical Engineering

Designing molecular technology for the 21st century with biology and chemistry


Assistant Professor Howard M. Salis | Research

Bridging the Gap between Engineering and Biology

  • We are developing rational methodologies to predict, control, and optimize the behavior of cellular genetic systems for bioenergy and pharmaceutical applications.
  • We are creating new genetic parts to dynamically control cellular metabolism for the optimal production of fuels, drugs, and materials.
  • We are eliminating trial-and-error from the engineering of biology while quantitatively studying natural biological function. We are advancing Synthetic Biology.

Research Topics

Predicting and Controlling Gene Expression

Gene expression and regulation ultimately controls all of life's cellular processes: self-replication, metabolism, signal transduction, differentiation, and physiology. We develop biophysical models that predict how much and when an RNA or protein is produced according to a gene's specific DNA sequence. Using model predictions, we computationally design and experimentally modify the DNA inside simple organisms to manipulate gene expression rates and to control its cellular dynamics for biotechnological applications. We combine statistical mechanics, kinetics, and thermodynamics to formulate these models and we test their accuracy through systematic, quantitative experimentation on industrially useful or medically relevant bacteria and eukaryotes. We are also interested in predicting the effect of DNA mutations on human health with the hope that understanding the relationship between DNA sequence and disease will enable the development of effective therapeutics.

View the Salis Group Website for information about the research below.

Rational Optimization of Synthetic Genetic Systems

Metabolic pathways and genetic circuits are engineered by assembling together genetic parts from diverse organisms or from entirely synthetic components. We create automated or iterative procedures for determining which combination of genetic parts, and their DNA sequences, will yield a desired, targeted behavior. As demonstrations, we employ these techniques in the lab to construct and optimize synthetic genetic systems for the maximal production of high-value chemicals from low-value feedstock.

View the Salis Group Website for information about the research below.

Page reviewed on 10/14/13,   Top of page