Many important and fundamental questions in biology and biochemistry can be better understood through investigations performed at the protein-ligand or drugreceptor level. A variety of techniques have been used over the years, and it is an area of active research. In this paper we illustrate an approach that leverages a number of different computational chemistry approaches, and combines these with non-linear optimization algorithms and grid based high performance computing platforms. The result is a very flexible, high performance method of evaluating protein-ligand interaction algorithms. We illustrate the approach by evaluating a hybrid molecular modeling and quantum theoretical based algorithm.