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Hummingbird’s Rational Antibody Discovery platform leverages data rich, systems biology approaches to identify critical functional regions of a target protein, drive production of antibodies against these epitopes, and then isolate the antibodies that bind to them, thereby optimizing the therapeutic potential of a target.


​This systematic and rational approach overcomes many of the common challenges of antibody discovery and allows us to efficiently and precisely engineer next-generation therapies that uniquely hit the right targets for the right patients.


✓ Immunodominance


 Epitope Instability


✓ Multipass Proteins

✓ Agonists

mAbHits is an immuno-engineering system to manipulate an immune response in order to control and optimize the production of antibodies against the desired optimal yet elusive epitopes. mAbHits results in a much higher proportion of usable therapeutic antibodies

mAbPredict uses computational biology to integrate and analyze data from multidisciplinary sources to produce validated insights into the biology of the disease and provide predictions regarding which epitopes should be targeted for optimal efficacy and safety profiles

Classical Approaches vs. Rational Antibody Discovery

Missing the Mark

Classical approaches to antibody discovery generally lead to the majority of antibodies produced missing the optimal epitopes

Target Protein

Optimal Yet Elusive Epitope

Hitting the Spot

Our Rational Antibody Discovery platform systematically identifies optimal target epitopes, and immuno-engineers an immune response that results in the majority of antibodies hitting the desired epitopes

A Pioneering Platform

Applications of Our Platform

Design of Functional Antibodies

The challenges in discovering functional antibodies are two-fold: knowing where antibodies must bind on a disease-related protein to provide therapeutic benefit and isolating antibodies that bind these optimal and often elusive epitopes. Our platform integrates computational biology and a mechanistic understanding of disease, gains insights into protein structure and function relationships and predicts ways to manipulate the system through antibody binding, then immuno-engineers an antibody response against these epitopes.