| Salis, Howard |
| Advancing the engineering science of synthetic biology!
The Salis research lab develops predictive design methods for engineering synthetic genetic systems. We quantify the rules by which organisms decode their DNA and execute complex functions, creating biophysical models of gene expression, regulation, and system function. We apply our models and algorithms to engineer cellular sensors, genetic circuits, and metabolic pathways inside organisms with important biotech applications. Our models also improve our understanding of natural biological functions.
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| - A synthetic genetic edge detection program Cell 137 (7), 1272-1281, 2009 |
| - Accurate hybrid stochastic simulation of a system of coupled chemical or biochemical reactions The Journal of chemical physics 122 (5), 054103, 2005 |
| - Automated design of synthetic ribosome binding sites to control protein expression Nature biotechnology 27 (10), 946-950, 2009 |
| - The ribosome binding site calculator Methods Enzymol 498, 19-42, 2011 |
| - Translation rate is controlled by coupled trade-offs between site accessibility, selective RNA unfolding and sliding at upstream standby sites Nucleic acids research, gkt1139, 2013 |
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