Identification of new potential Mycobacterium tuberculosis shikimate kinase inhibitors through molecular docking simulations.

Tuberculosis (TB) is the major cause of human mortality from a curable infectious disease, attacking mainly in developing countries. Among targets identified in Mycobacterium tuberculosis genome, enzymes of the shikimate pathway deserve special attention, since they are essential to the survival of the microorganism and absent in mammals. The object of our study is shikimate kinase (SK), the fifth enzyme of this pathway. We applied virtual screening methods in order to identify new potential inhibitors for this enzyme. In this work we employed MOLDOCK program in all molecular docking simulations. Accuracy of enzyme-ligand docking was validated on a set of 12 SK-ligand complexes for which crystallographic structures were available, generating root-mean square deviations below 2.0 Å. Application of this protocol against a commercially available database allowed identification of new molecules with potential to become drugs against TB. Besides, we have identified the binding cavity residues that are essential to intermolecular interactions of this enzyme.