Structures of glyceraldehyde 3-phosphate dehydrogenase in Neisseria gonorrhoeae and Chlamydia trachomatis.

Neisseria gonorrhoeae (Ng) and Chlamydia trachomatis (Ct) are the most commonly reported sexually transmitted bacteria worldwide and usually present as co-infections. Increasing resistance of Ng to currently recommended dual therapy of azithromycin and ceftriaxone presents therapeutic challenges for syndromic management of Ng-Ct co-infections. Development of a safe, effective, and inexpensive dual therapy for Ng-Ct co-infections is an effective strategy for the global control and prevention of these two most prevalent bacterial sexually transmitted infections. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) is a validated drug target with two approved drugs for indications other than antibacterials. Nonetheless, any new drugs targeting GAPDH in Ng and Ct must be specific inhibitors of bacterial GAPDH that do not inhibit human GAPDH, and structural information of Ng and Ct GAPDH will aid in finding such selective inhibitors. Here, we report the X-ray crystal structures of Ng and Ct GAPDH. Analysis of the structures demonstrates significant differences in amino acid residues in the active sites of human GAPDH from those of the two bacterial enzymes suggesting design of compounds to selectively inhibit Ng and Ct is possible. We also describe an efficient in vitro assay of recombinant GAPDH enzyme activity amenable to high-throughput drug screening to aid in identifying inhibitory compounds and begin to address selectivity.

Predicting the success of fragment screening by X-ray crystallography.

Fragment screening using X-ray crystallography is a method that can provide direct three-dimensional readouts of the structures of protein-small molecule complexes for lead development and fragment-based drug discovery. With current technology, an amenable crystal form can be screened crystallographically against a library of 1000-2000 fragments in 1-2 weeks. We have performed over a dozen crystallographic screening campaigns using our own compound collection called Fragments of Life™ (FOL). While the majority of our fragment screening campaigns have generated multiple hits, some unexpectedly turned out to be nonproductive, either yielding no bound ligands, or only those thought to be inadequate for lead development. In this chapter, we have attempted to identify one or more parameters which could be used to predict whether a crystallized protein target would be a good candidate for fragment hit discovery. Here, we describe the parameters of crystals from 18 fragment screening campaigns, including six unsuccessful targets. From this analysis, we have concluded that there are no parameters that are absolutely predictive of fragment screening success. However, we do describe a parameter we have termed pocket factor which provides a statistically significant variance between nonproductive targets and productive targets shown to bind fragments. The pocket factor is calculated using a novel method of consensus scoring from three distinct pocket-finding algorithms, and the results may be used to prioritize targets for fragment screening campaigns based on an initial crystal structure.