School of Biosciences

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Research Seminar: Advancing the engineering science of synthetic biology: model-predictive design and optimization of cellular sensors, circuits, and pathways.

1 March 2017

Professor Howard Salis, Department of Agricultural and Biological Engineering, Pennsylvania State University, USA

Tuesday 7th March, 1.00 p.m., Stacey Lecture Theatre 1


DNA is Nature’s programming language and its sequence determines how organisms sense their environment, perform decision-making, and produce valuable chemical products. The Salis lab engineers cellular sensors, genetic circuits, and metabolic pathways by developing and applying sequence-to-function biophysical models and optimization algorithms, capable of predicting the sequences of high-performance genetic systems before they are constructed.​ ​

We illustrate our design approach with several examples, including RNA-based sensors that detect 2,4-dinitrotoluene, genetic circuits that amplify signals, and metabolic pathways that over-produced desired chemicals. Using a web-based design platform, our algorithms have been used by researchers world-wide to engineer over 100,000 genetic systems for their own biotech applications.


Enquiries: Phone: +44 (0)1227 823743

School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ

Last Updated: 27/09/2013