GPPEM is a module inside of the Proteineer GeneStore application. GeneStore is currently used by industrial biotechnology and chemistry firms to search and identify promising enzymes in publicly-available data for use in chemical manufacturing projects.
Many Proteineer GeneStore users also have in-house collections of digital sequence data which they fail to monetize due to the lack of a network in which it can be made discoverable in a private manner. We offer the GPPEM module so that this data can be made searchable and a data ecosystem can develop amongst holders of private sequence data.
Usage of Standards for data interoperability:
We use the following standards for interoperability:
FASTA format for digital sequence data
Docker for standarized deployment of product passport/scoring information
Provision of a REST API to allow integration of the service with existing workflows
*Expose phase is open to all Experiment phase teams
Proteineer helps industrial biotechnology firms to discover novel and more productive enzymes with useful properties ranging from thermostability, expression in E. coli, and substrate specificity and product yield predicted by state-of-the-art AI models. We offer a SaaS solution that allows firms to search amongst petabytes of digital sequence data to find the proteins that are most relevant for their projects.
Joseph Heenan - CEO
Experience ranging from software scale-ups to engineering team management in Fortune 100
Aron Eiermann - CTO
Lab automation domain expert and technologist
Johannes Kabisch - CSO
Experience as biotechnology professor at Norway’s largest university