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DeepSP is an antibody-specific surrogate CNN model that can generate 30 spatial properties of an antibody solely based on their sequences.
A convolutional neural network model to predict spatial charge map (SCM) score, a molecular dynamics simulation-based model to predict antibody viscosity.