Computational modeling aims to enable molecular design, property prediction, prediction of biomolecular interactions, and provide a detailed understanding of chemical and biological mechanisms. Methods for making these types of predictions can suffer from poor or unpredictable performance, thus hindering their predictive power. Without a large scale evaluation of methods, it can be difficult to know what method would yield the most accurate predictions for a system of interest. Large scale comparative evaluations of methods are rare and difficult to perform because no individual group has expertise in or access to all relevant methods. Thus, methodological studies typically focus on introducing new methods, without extensive comparisons to other methods.