In collaboration with the CRCT (Centre de Recherches contre le Cancer de Toulouse) with funding from INSERM Transfert, our AI technology was able to design a completely new nanobody scaffold. As targeted, the designed nanobody has high expressibility, unique fluorescence capacities for in-cell diagnosis and keeps affinity for targets with various sets of CDR loops (patent pending). A result of our hybrid AI multi-state protein design capacities.

GH-11 xylanases are able to break the long chains of xylans, a major components of available biomass. They have a wide range of applications, in bioenergy, food and feed and paper industry. We simultaneously improved the activity, thermo-stability and heat-shock resistance of one of the most active, already engineered, GH-11 enzyme (patent pending). Another result of our advanced AI multi-state design capabilities.

Previous attempts at designing symmetric beta-propellers had a hard time to reach a stable design because of the unique strain that beta-propellers backbone must cope with. Thanks to our guaranteed automated reasoning design process, in collaboration with KU-Leuven and Riken, we were able to design a new hyper-stable self-assembling beta propeller that can resist extreme conditions in terms of pH and temperature. Our first proof of concept, now published in the IUCrJ journal.