Transcription activation by the resistance protein AlbA as a tool to evaluate derivatives of the antibiotic albicidin.

The rising numbers of fatal infections with resistant pathogens emphasizes the urgent need for new antibiotics. Ideally, new antibiotics should be able to evade or overcome existing resistance mechanisms. The peptide antibiotic albicidin is a highly potent antibacterial compound with a broad activity spectrum but also with several known resistance mechanisms. In order to assess the effectiveness of novel albicidin derivatives in the presence of the binding protein and transcription regulator AlbA, a resistance mechanism against albicidin identified in Klebsiella oxytoca, we designed a transcription reporter assay. In addition, by screening shorter albicidin fragments, as well as various DNA-binders and gyrase poisons, we were able to gain insights into the AlbA target spectrum. We analysed the effect of mutations in the binding domain of AlbA on albicidin sequestration and transcription activation, and found that the signal transduction mechanism is complex but can be evaded. Further demonstrating AlbA's high level of specificity, we find clues for the logical design of molecules capable of avoiding the resistance mechanism.

Identification of Kazal Inhibitor Scaffolds with Identical Canonical Binding Loops and Their Effects on Binding Properties.

Kazal inhibitors hold high potential as scaffolds for therapeutic molecules, taking advantage of the easily exchangeable canonical binding loop. Different Kazal inhibitor backbones have been suggested to be therapeutically useful, but the impact of different Kazal-like scaffolds on binding properties is still largely unknown. Here, we identified trypsin-targeting human serine protease inhibitor Kazal type 1 (SPINK1) homologues in different mammalian species that cluster in two P2-P1 combinations, implying the coevolution of these residues. We generated loop exchange variants of human SPINK1 for comparison with Kazal inhibitors from related species. Using comprehensive biophysical characterization of the inhibitor-enzyme interactions, we found not only affinity but also pH resistance to be highly backbone-dependent. Differences are mostly observed in complex stability, which varies by over one order of magnitude. We provide clear evidence for high backbone dependency within the Kazal family. Hence, when designing Kazal inhibitor-based therapeutic molecules, testing different backbones after optimizing the canonical binding loop can be beneficial and may result in increased affinity, complex stability, specificity, and pH resistance.