> About DeepViscosity

DeepViscosity is an ensemble deep learning ANN model developed to predict high-concentration monoclonal antibody viscosity classes (Low <= 20 cP, High > 20 cP). The model utilized 30 spatial properties (descriptors) obtained from DeepSP surrogate model as features for training. It was trained based on 229 mAbs.

How to Use DeepViscosity:

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 get the prediction.
5. DeepViscosity Classes (as well as the DeepSP spatial properties) for sequences inputed, would be polulated and saved to a csv file.

Note: To process large datasets at once, 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