Instantaneous generation of protein hydration properties from static structures

Abstract

Calculating the thermodynamic properties of biochemical systems typically requires resource intensive, multi-step molecular simulations. Here, two deep neural network machine learning methods generate the thermodynamic state of dynamic water molecules in a protein environment solely from information on the static protein structure.