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--- |
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license: other |
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license_name: apoha-license |
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license_link: LICENSE |
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language: |
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- en |
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tags: |
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- antibody |
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- developability |
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- biophysical |
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- monoclonal |
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- prediction |
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- biology |
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- pharma |
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extra_gated_fields: |
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Name: |
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type: text |
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optional: true |
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Organisation: |
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type: text |
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optional: true |
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By requesting access, I acknowledge that I read, understand, and agree to the terms of use and licensing (https://huggingface.co/datasets/apoha/antibody_jain_vibescore/blob/main/LICENSE) associated with this dataset: |
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type: checkbox |
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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. |
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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. |
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This dataset contains the following information about the antibodies from Jain et. al : |
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1. Assay values and flags |
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2. Termination/Approval status |
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3. Sequence based descriptors |
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4. VIBE score derived from proprietary data generated by the Liquid Brain. |
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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). |
