> About DevPred
DevPred is a server developed by Professor Pin-Kuang Lai's group at Stevens Institute of Technology, designed for predicting properties of monoclonal antibodies (mAbs).
Use our tools for:
> Publications
- DeepSP: Deep Learning-Based Spatial Properties to Predict Monoclonal Antibody Stability. Comput. Struct. Biotechnol. J. 2024, 23, 2220-2229. L. Kalejaye, I.E. Wu, T. Terry and P.K. Lai. [link]
- Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning. mAbs. 2024, 17(1). Lai et. al.[link]
- Machine Learning Models for Predicting Monoclonal Antibody Biophysical Properties from Molecular Dynamics Simulations and Deep Learning-based Surface Descriptors. Mol. Pharm, 2024. I.E. Wu, L. Kalejaye and P.K. Lai. [link]
> Contact Us
If you have any questions about our webapps, feel free to contact us at plai3@stevens.edu.
Additionally, we would greatly appreciate it if you report any bugs or errors you find.
