> About SubQAvail

SubQAvail: Machine Learning Model for Monoclonal Antibody Bioavailability Classification.

SubQAvail is a machine learning-based tool designed to classify monoclonal antibodies (mAbs) as having either high or low subcutaneous bioavailability. The model uses antiBERTy, a Protein Language Model (PLM), to generate sequence embeddings and predict bioavailability with high accuracy.

How to Use the SubQAvail:

1. Enter the name of your antibody in the first text box.
2. Enter the heavy chain variable region sequence in the second text box.
3. Enter the light chain variable region sequence in the third text box.
4. Click the "Submit" button to receive a classification of high or low bioavailability based on the model’s prediction.

NOTE: To process large datasets at once and make use of the ESM-2 embeddings, please refer to our GitHub.

> Sequence Submission

Name your mAb name

Heavy chain's variable region sequence

Light chain's variable region sequence

Load an example
Submit

Results

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