Machine Learning Algorithms Optimize Antibody Drugs by Predicting Modifications

New machine learning algorithms can optimize therapeutic antibodies by identifying problem areas that cause unwanted binding.
The models evaluate antibodies on 3 criteria binding the target, repelling each other, and ignoring other molecules.
The algorithms accurately predict antibody modifications to meet all criteria, drastically reducing experimental trial-and-error.
Biotech companies are utilizing these models early on to optimize antibody drugs in development.
The research was a collaboration between University of Michigan and industry, applying machine learning to accelerate drug discovery.

news-medical.net

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Posted 9/12/2023, 3:01:00 AM