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Fitness Landscape for Antibodies 2: Benchmarking Reveals That Protein AI Models Cannot Yet Consistently Predict Developability Properties
2 months ago
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Artificial Intelligence is rapidly transforming therapeutic antibody design, promising to accelerate the transition of drug candidates from the laboratory to clinical trials. However, as these technologies evolve, a critical question remains: How reliable are these models in a real-world biophysical context?

In an upcoming session, Dr. Chungyoun will present findings from the FLAb2 benchmark - the largest public dataset of its kind—to provide a humbling and essential reality check on the current state of AI in biologics.