Trademarks referenced on Codexis.com are trademarks of Codexis, Inc. or of third-party owners in the U.S. and/or other countries. The names of actual companies and products mentioned in this website and/or third-party trademarks, trade names and logos contained in this website may be the trademarks of their respective owners. Any rights not expressly granted herein are reserved.
The following are trademarks of Codexis, Inc: Codexis®, Codexis Protein Engineering Experts®, CodeEvolver®, MOSAIC®, Codex®, MicroCYP®, MCYP®, SAGE®, Analogene®, Forager®, Continuity®, Harvester®, ProSAR®, Riptide®, Strategist™, Ameli™, Atoms™, APS™.
CODEEVOLVER®
We use our CodeEvolver® directed evolution services to develop enzymes, microorganisms, and genes to produce chemicals, biochemicals, and biocatalysts. These products are used for research in various industries including biotherapeutics, life sciences, and pharmaceuticals.
MOSAIC®
The MOSAIC® software program applies a machine-learning computational methodology to determine the effect of mutations on proteins. Sequences and activity data are used to identify mutations that are beneficial, neutral, and deleterious. The MOSAIC® program leverages next-generation sequencing data to predict interactions between mutations.
MOSAIC® is a registered trademark/service mark of Codexis, Inc. and is used for directed evolution services, namely, the development of microorganisms and genes for the benefit of others to produce chemicals, biochemicals, enzymes, chemical catalysts, and biochemical catalysts for use in scientific research, medical research, and industrial uses pertaining to chemistry, industrial chemicals, pharmaceuticals, medicine; manufacturing services for others in the fields of enzymes, microorganisms, chemicals, biochemicals, chemical catalysts, and biochemical catalysts. It is also used for chemical research services; scientific research services; research, product development, and process development services for others in the fields of chemistry, industrial chemicals, pharmaceuticals, medicine, and biocatalysis.
ProSAR®
The ProSAR® software program uses linear regression to identify beneficial, neutral, and deleterious mutations from a combinatorial library. The program requires little sequencing and activity data to make effective predictions on the impact of individual mutations.
ProSAR® is a registered trademark/service mark of Codexis, Inc. and is used for scientific research services, scientific testing and assessment of enzymes for use in protein engineering for the benefit of others.
Strategist™
The Strategist™ software program is a machine-learning tool for library design and data analysis.The program relies on sequences, activity, and structural data to streamline protein engineering library design workflows. The visualization tools aid the interpretation of large data sets and enable decision-making.
Strategist™ is a trademark of Codexis, Inc. for downloadable or recorded computer software that uses protein sequencing, activity and 3D structural data for protein library design and analysis, which assists in protein engineering, and aids in interpretation of large protein engineering data sets.
APS™
The APS™ software program facilitates the creation of oligonucleotide sequences that encode mutations onto a target gene. The designed oligonucleotides are used for the construction of screening libraries to identify improved properties.
APS™ is a trademark of Codexis, Inc. for downloadable or recorded computer software that facilitates the creation of oligonucleotide sequences encoding genetic mutations for use in research and scientific analysis.
AMELI™
The AMELI™ software program utilizes machine-learning algorithms to recommend enzyme variants that act on a target substrate molecule. Its enzyme screening database is used to train an algorithm and the graphical interface enables users to search and query that database.
AMELI™ is a trademark of Codexis, Inc. for downloadable or recorded computer software for the storage and searching of screening data for enzymes and substrates for use in research and scientific analysis.
Last updated July 2021