BiochemistrybioRxiv
RosENet: Improving binding affinity prediction by leveraging molecular mechanics energies with a 3D Convolutional Neural Network
H. Hassan-Harrirou, C. Zhang, T. Lemmin
RosENet improves binding affinity prediction by combining 3D convolutional neural networks with voxelized molecular mechanics energies, achieving an RMSE of 1.26 on the PDBBind v2016 core set.
DOI 10.1021/acs.jcim.0c00075