Applications
Chemicals
Food tech
Industries
Plastic recycling
Enhance the properties of your proteins/enzymes through our proprietary in silico protein evolution methodology and molecular modeling (MM) capacities. Moreover, we are expanding our toolkit by adding artificial intelligence (AI) tools that give us a faster way to filter mutants and even provide us with orthogonal information. Check the properties we can enhance with articles we have been publishing.
Are you looking for an enzyme that can perform your reaction of interest under specific conditions? Contact us.
Our unique AI + MM pipeline will allow you to quickly find the protein you are looking for with 1000 of sequences assayed computationally. Moreover, we have our own protein language model that can be fine-tuned to your specific enzyme family, so we can generate sequences and use it to infer a smart library of mutations.
Looking for a multitasking enzyme ? Ask us to design your tailored Plurizymes for your industrial processes needs.
De novo active sites: new functionalities, new opportunities. Through computer-aided rational design, we can design an enzyme that supports multiple chemistries, allowing cascade reactions in a single protein scaffold. Thanks to this revolutionary idea, we have published several articles, including in Nature Catalysis
Recycling and re-using plastics is becoming a reality thanks to enzyme engineering. We help you to get closer to a circular economy.
Producing virgin polyester polymers using fossil fuels is old news. We developed a catalytic protein nanopore capable of decomposing nanoparticles of polyethylene terephthalate (nPET), having a potential application to filter and remove nPET from wastewater plants. We are also optimizing the production of polyethylene furan-2,5-dicarboxylate (PEF), a bio-based alternative of PET by participating in a NextGenerationEU project called “FURENPOL” related to discovering and engineering optimal enzymes for this process.
We have expertise in designing molecules that bind to the target of interest, including small/medium-size proteins. Tell us what you need.
Check this joined communication with Navigo Proteins GmbH where we showed a glimpse of what tools can be used to accelerate your binding protein discovery campaigns. Thus, feel free to contact us if you have a related problem, we will provide assistance.
If you have a hit for a specific target and want to perform antibody engineering, please don’t hesitate to contact us. We talk antibody language !
The antibody market gets bigger every year with 4 of the top 10 best-selling pharmaceuticals in 2022 being antibodies (with an year dominated by sales of COVID vaccines) with revenues higher than ~10 billion USD . However, the computational discovery and design of antibodies are still in their infancies, with thorough experimental validation and serendipity still being the main ways to develop an antibody. We feel that this field will benefit a lot from generative AI (especially protein language models) combined with MM techniques to predict binding affinities. We are currently developing a finer and more automated toolkit to do in silico antibody discovery.
The video shows how we use PELE to explore non-functional binding sites in proteins and functionalize them through site-directed mutagenesis by adding the catalytic triad of a serine hydrolase.
