Machine learning points out why antibodies fail to stay on target, binding to molecules that aren’t markers of disease—and suggests better designs.
Peter Tessier
AI tool helps optimize antibody medicines
$3.8M grant supports protein engineering technologies that improve brain delivery of neuroprotective antibodies for treating Alzheimer’s disease
The research will involve developing and optimizing bifunctional antibodies, which target one molecule at the blood-brain barrier for transport into the brain and a second molecule in the brain to mediate neuroprotective function.
Behind the Paper: Enabling Multi-Objective Antibody Optimization
This PhD student blog post explores the use of machine learning for simultaneously optimizing antibody affinity and specificity, which could help accelerate drug development.
New protein engineering method could accelerate the discovery of COVID-19 therapeutics
The method could one day be used to develop nanobodies against other viruses and disease targets as well.
