> About AbDev

AbDev: Machine learning models for 12 biophysical properties prediction.

AbDev is a comprehensive predictive model package designed for the analysis of 12 critical biophysical properties of monoclonal antibodies (mAbs). This tool combines a deep learning-based tool, DeepSP, and machine learning techniques to provide insights based on the variable regions sequences of mAbs.

How to Use AbDev:

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 generate twelve (12) Biopysical properties.

Note: To process large datasets at once, please refer to our GitHub.

Citation: I.E. Wu, L. Kalejaye and P.K. Lai. Machine Learning Models for Predicting Monoclonal Antibody Biophysical Properties from Molecular Dynamics Simulations and Deep Learning-based Surface Descriptors. Mol. Pharm, 2024. (https://pubs.acs.org/doi/full/10.1021/acs.molpharmaceut.4c00804)

> Sequence Submission

Name your mAb name

Heavy chain's variable region sequence

Light chain's variable region sequence

Load an example
Submit

Results