The Salis Lab has recently discovered a new mechanism, called Ribosome Drafting, that controls a mRNA's translation rate. Learn more about it in our latest publication: Espah Borujeni and Salis. Translation Initiation is Controlled by RNA Folding Kinetics via a Ribosome Drafting Mechanism, Journal of the American Chemical Society, 2016

Are you engineering riboswitches? See our latest NAR Breakthrough Article Automated physics-based design of riboswitches from diverse RNA aptamers, Nucleic Acid Research, 2016. Are you engineering bacterial operons? In non-model hosts? Then our latest published work should also interest you: Kushwaha and Salis, A Portable Expression Resource for Engineering Cross-species Genetic Circuits and Pathways, Nature Communications, 2015. and Tian and Salis, A Predictive Biophysical Model of Translational Coupling to Coordinate and Control Protein Expression in Bacterial Operons, Nucleic Acid Research, 2015


Pathway Map Calculator

The Pathway Map Calculator helps you optimize a many-enzyme pathway, while requiring a small number of characterized pathway variants.
Step 1. Download the Excel template. Specify the pathway's reaction network. Add a list of pathway variants with predicted/measured enzyme expression levels and corresponding end-product measurements.
Step 2. Upload the Excel file.
Step 3. Double-check your pathway's information. Provide optional information. Click 'Submit'.
The Pathway Map Calculator predicts the pathway's optimal enzyme expression levels
and prioritizes the most important protein engineering efforts.

Download this Excel template: PathwayMapCalculator_Template.xlsx
Upload your completed Excel file:
Design Jobs: 6 queued, 15 currently running
For Non-Commercial Use Only.
Have a Question? Our Documentation, Publications, and References may have your answer!
When using these results, please reference Sean Halper, Iman Farasat, "Automated Parameterization of Flux-constrained Kinetic Metabolic Models for Systematic Optimization of Many-enzyme Pathways", submitted
We gratefully acknowledge research funding from the Air Force Office of Scientific Research, the National Science Foundation, the Office of Naval Research, and an Amazon AWS Research Grant.
Computational resources are provided by the AWS Elastic Compute Cloud.