Machine learning of molecular dynamics simulations provides insights into modulation of viral capsid assembly
Ànna Pavlova, Zixing Fan, Diane L. Lynch, James C. Gumbart
This paper uses machine learning to classify molecular dynamics simulations of viral capsid assembly intermediates, distinguishing between apo and CAM-bound states with high accuracy.