P.-K. Lai

DeepSP: Deep Learning-Based Spatial Properties to Predict Monoclonal Antibody Stability

This paper introduces DeepSP, a deep learning model that predicts spatial properties of monoclonal antibodies using sequence data, achieving high correlation with MD simulation results and enabling faster stability prediction.

Investigating the mechanisms of antibody binding to alpha-synuclein for the treatment of Parkinson's Disease

This study uses computational methods to analyze the binding of PRX002 to alpha-synuclein, showing strong binding affinity and conformational stability.

DeepSCM: an efficient convolutional neural network surrogate model for the screening of therapeutic antibody viscosity

DeepSCM is a convolutional neural network that predicts antibody viscosity using sequence data, achieving high correlation with molecular dynamics simulations.