Interfacer
AI-powered antibody design and affinity optimisation
Interfacer is Alosenta’s physics-based generative architecture for the design and optimisation of high-affinity binders. The platform is trained on approximately 190,000 experimental 3D structures, including human antibodies, monoclonal antibodies, peptides and single-chain antibody–antigen complexes. Starting from an existing structure, Interfacer can generate a wide range of sequence variations and corresponding 3D structural models. These candidates are then evaluated using biophysical methods to support the identification and optimisation of higher-affinity binders. Unlike tools primarily focused on structural plausibility, Interfacer is designed specifically for affinity optimisation, with the objective of identifying binders with improved interaction characteristics. Interfacer combines generative AI with structural biology and biophysics to accelerate the engineering of next-generation antibodies and protein binders.
