BioDesign is capable of desinging a protein drug (e.g. antibody, cytokine) against a molecular target of interest.

Currently capable of:

• Affinity modulation through insertion/deletion/substitution of amino acids.
• Affinity modulation in a pH-conditioned manner - Can modulate a protein drug to exclusively interact with its target only in a certain pH level (e.g. acidic condition).
• Fc engineering to elicit select desired effector function of an antibody while suppressing other effector function.

Under development:

• Epitope-specific antibody design.
• Modulating the Fc region of an antibody to function like a Fab region and bind to an antigen. This would allow the design of unconventional bi-specific (one epitope with Fab region and another with Fc region) and even tri-specific antibodies.

Our AI learns the physical principles of protein folding and interaction and we incorporate real-world experimental data into its learning process. This enables the AI to cross-reference its theoretical understanding of physics with emperical data allowing it to generate an accurate picture or representation of the protein structure and interection.