. This proposal describes a program to identify drug targets for tuberculosis and Escherichia coli infections through the combination of computational and experimental methods to elucidate targets within mycobacterial and bacterial fatty acid synthesis. In Escherichia coli, the pathway involves 27 discrete interactions between AcpP and its partner proteins. In tuberculosis, the FAS-II pathway is involved the production of mycolic acids, which serve a pivotal role in the virulence of Mycobacterium tuberculosis (Mtb). As both pathways require an acyl carrier protein (ACP) to deliver growing fatty acyl substrates and intermediates to associated partner proteins (PPs), protein-protein interactions within the AcpP.PP complex are an essential for effective substrate processivity. Resolution of the structures of these assemblies and the interactions responsible for their formation will not only further our knowledge of the mechanisms by which these proteins function and are regulated but will also enable structure-based drug discovery work. In order to elucidate these structures, we will leverage our knowledge of the Escherichia coli AcpP.PP interfaces to identify a computational docking protocol that produces novel Mtb AcpP.PP structures. Our computational methodology will be optimized by evaluating its effectiveness in recapitulating known structures of E. coli AcPP.PP complexes resolved via NMR and X-ray crystallography studies. This computational protocol, once tested, will be used to predict both AcpP.PP and AcpM.PP complexes. The structures of the resulting complexes will then be validated using NMR titration and mutagenesis experiments. The resulting models will be refined using molecular dynamics simulations, which yield a dynamical understanding protein structure that will inform computer-aided drug discovery efforts.
. Microbial infections within the gut and lungs remain leading causes of mortality, with tuberculosis being one of the ten most deadly human diseases worldwide (1.6 million fatalities in 2017). This program involves developing and optimizing a computational protocol that characterizes the protein-protein interactions involved in production of bacterial fatty acid synthesis. Through this high-risk, high-reward program we will predict protein structures that will facilitate the development of novel therapeutics to treat bacteria, including including E. coli and tuberculosis, with indications that are resistant to established treatments.
