/tools/DeepViscosity
Lailabcode/DeepViscosity
DeepViscosity is a deep learning model designed to predict the viscosity classes of high-concentration monoclonal antibodies. It utilizes spatial properties as features for training, making it a useful tool in the development and optimization of antibody formulations.
DeepViscosity is a deep learning ANN model developed to predict high concentrated monoclonal antibody viscosity classes (Low <= 20cps, High > 20cps). The model utilized 30 spatial properties (descriptors) obtained from DeepSP surrogate model as features for training.
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