Using an excitable substrate and only 10μg of antibodies, the Liquid Brain® performs single-shot classification of antibody developability risks, demonstrated through case studies matching the combined predictive capability of 12 biophysical assays across 135 clinical-stage antibodies. In another customer study, it identified outliers in 70 VHH - Fcs fragments with >80% accuracy using first-principle dimensionality reduction and unsupervised clustering.
Our dataset of risk scores for clinical antibodies is now publicly available here. Write to us at [email protected] to learn how Liquid Brain® is enabling a state-to-function approach for protein behavior prediction and how it can integrate seamlessly into your workflows to drive more reliable decision-making in antibody development.
This dataset contains the following information about the antibodies from Jain et. al :
- Assay values and flags
- Termination/Approval status
- Sequence based descriptors
- VIBE score derived from proprietary data generated by the Liquid Brain.
The dataset repo also contains results from a case study that was performed to validate the use of the VIBE score for predicting antibody developability (becomes available once access is granted).
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