Computational models for tuberculosis drug discovery

Abstract

The search for small molecules with activity against Mycobacterium tuberculosis increasingly uses high-throughput screening and computational methods. Previously, we have analyzed recent studies in which computational tools were used for cheminformatics. We have now updated this analysis to illustrate how they may assist in finding desirable leads for tuberculosis drug discovery. We provide our thoughts on strategies for drug discovery efforts for neglected diseases. © Springer Science+Business Media, LLC 2013.