SYSTEM AND METHOD FOR STRUCTURE-BASED DRUG DESIGN THAT INCLUDES ACCURATE PREDICTION OF BINDING FREE ENERGY

摘要

A system and method for providing improved de novo structure-based drug design that includes a method for more accurately predicting binding free energy. The system and method use a coarse-graing model with corresponding knowledge-based potential data to grow ligand candidates and libraries of ligand candidates. In light of the present inventions using coarse-graining model, the novel growth method of the present invention uses a Metropolis Monte Carlo selection process which result in a low energy structure that is not necessarily the lowest energy structure, yet results in a better ligand candidate.