Structural Genomics and Drug Discovery

T Andrew Binkowski, Wei Jiang, Benoit Roux, Wayne F Anderson, Andrzej Joachimiak, T. Andrew Binkowski, Wayne F. Anderson, Binkowski, T. Andrew, Jiang, Wei, Roux, Benoit, Anderson, Wayne F., Joachimiak, Andrzej

In Structural Genomics projects, virtual high-throughput ligand screening can be utilized to provide important functional details for newly determined protein structures. Using a variety of publicly available software tools, it is possible to computationally model, predict, and evaluate how different ligands interact with a given protein. At the Center for Structural Genomics of Infectious Diseases (CSGID) a series of protein analysis, docking and molecular dynamics software is scripted into a single hierarchical pipeline allowing for an exhaustive investigation of protein-ligand interactions. The ability to conduct accurate computational predictions of protein-ligand binding is a vital component in improving both the efficiency and economics of drug discovery. Computational simulations can minimize experimental efforts, the slowest and most cost prohibitive aspect of identifying new therapeutics.