Applications
Antibody Design
Enzyme Engineering
Vaccine Design
From antibodies and vaccines to enzymes and de novo binders, we design and engineer proteins that perform. On every project we benchmark open-source and proprietary protein language models and AI algorithms, then validate the best designs with physics-based modeling, so you test fewer sequences and reach better candidates faster.
Designing an antibody from scratch?
We cover the full pipeline, from target discovery to de novo design, de-risking and ranking, across IgG, Fab, scFv, VHH, VNAR and bispecific formats. Our clients typically reach a promising candidate by testing fewer than 40 sequences in the wet lab.
Vaccines designed for sequential and conformational epitopes
Starting from a known neutralizing antibody, we design immunogens that present its epitope in its native conformation. By integrating AI, structural biology and high-performance computing, we bring the speed and precision needed to stay ahead of global health threats.
Need a binder for a difficult target?
We design small and medium-sized protein binders de novo for any protein of interest, from GPCRs to circulating proteins. Generative AI proposes backbones and sequences, and physics-based modeling ranks them, giving high-quality designs at a lower computational cost than conventional methods.
Looking for an enzyme that performs your reaction under specific conditions?
Our AI and physics-based pipelines screen thousands of sequences in silico to find the right enzyme quickly.
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.