Automating Water Orientation in Neutron Crystallography using Convolutional Neural Networks
One important aspect of determining the functionality of proteins is to find the direction of the dipole moment of surrounding water molecules. This is equivalent to finding the position of the hydrogen in water, however with the current atomistic model building tools this is a tedious and time-consuming task. The current main method for finding and building atomic resolution structures of biologi
