- Provide an overview of the opportunity for enzymatic synthesis to transform RNAi therapeutics as a class of medicines
- Introduce Codexis’ unmatched capabilities in biocatalysis, ligation and sequential enzymatic synthesis
- Showcase market-leading data from recent customer case studies demonstrating the potential of Codexis’ Enzyme Catalyzed Oligonucleotide (ECO) Synthesis™ manufacturing platform to enable enzymatic RNA manufacturing
- Highlight next steps for Codexis and the ECO Synthesis™ platform as it moves up the value chain to provide siRNA manufacturing from pre-clinical scale through to eventual GMP capabilities
Stefan Lutz, PhD
Senior Vice President of Research
Codexis
Stefan Lutz joined Codexis in 2020 as Senior Vice President of Research to lead the company’s research team advancing the discovery of proteins. Previously, he was a Professor and Chair of the Chemistry Department at Emory University, joining the university in 2002 and ascending to Department Chair in 2014. Stefan has co-authored over 65 peer-reviewed articles and six technical books and journals, holds six patents and is a frequent industry speaker. Dr. Lutz received a B.Sc. in chemistry/chemical engineering from Zurich University of Applied Sciences, an M.Sc. in Biotechnology from the University of Teesside and a Ph.D. in chemistry from the University of Florida.
—
Codexis
Codexis is a leading enzyme engineering company leveraging its proprietary CodeEvolver® technology platform to discover, develop and enhance novel, high-performance enzymes and other classes of proteins. Codexis enzymes solve for real-world challenges associated with small molecule pharmaceuticals manufacturing and nucleic acid synthesis. The Company is currently developing its proprietary ECO Synthesis™ manufacturing platform to enable the scaled manufacture of RNAi therapeutics through an enzymatic route. Codexis’ unique enzymes can drive improvements such as higher yields, reduced energy usage and waste generation, improved efficiency in manufacturing and greater sensitivity in genomic and diagnostic applications.
