What doesn't fit is made to fit: Pim-1 kinase adapts to the configuration of stilbene-based inhibitors.

Recently, we have developed novel Pim-1 kinase inhibitors starting from a dihydrobenzofuran core structure using a computational approach. Here, we report the design and synthesis of stilbene-based Pim-1 kinase inhibitors obtained by formal elimination of the dihydrofuran ring. These inhibitors of the first design cycle, which were obtained as inseparable cis/trans mixtures, showed affinities in the low single-digit micromolar range. To be able to further optimize these compounds in a structure-based fashion, we determined the X-ray structures of the protein-ligand-complexes. Surprisingly, only the cis-isomer binds upon crystallization of the cis/trans-mixture of the ligands with Pim-1 kinase and the substrate PIMTIDE, the binding mode being largely consistent with that predicted by docking. After crystallization of the exclusively trans-configured derivatives, a markedly different binding mode for the inhibitor and a concomitant rearrangement of the glycine-rich loop is observed, resulting in the ligand being deeply buried in the binding pocket.

Pose, duplicate, then elaborate: Steps towards increased affinity for inhibitors targeting the specificity surface of the Pim-1 kinase.

In this study, fragment-sized hits binding to Pim-1 kinase with initially modest affinity were further optimized by combining computational, synthetic and crystallographic expertise, eventually resulting in potent ligands with affinities in the nanomolar range that address rarely-targeted regions of Pim-1 kinase. Starting from a set of crystallographically validated, chemically distinct fragments that bind to Pim-1 kinase but lack typical nucleotide mimetic structures, a library of extended fragments was built by exhaustive in silico reactions. After docking, minimization, clustering, visual inspection of the top-ranked compounds, and evaluation of ease of synthetic accessibility, either the original compound or a close derivative was synthesized and tested against Pim-1. For compounds showing the highest degree of Pim-1 inhibition the binding mode was determined crystallographically. Following a structure-guided approach, these were further optimized in a subsequent design cycle improving the compound's initial affinity by several orders of magnitude while synthesizing only a comparatively modest number of derivatives. The combination of computational and experimental approaches resulted in the development of a reasonably potent, novel molecular scaffold for inhibition of Pim-1 that targets specific surface regions, such as the interaction with R122 and P123 of the hinge region, which has been less frequently investigated in similar studies.

Native metabolomics identifies the rivulariapeptolide family of protease inhibitors.

The identity and biological activity of most metabolites still remain unknown. A bottleneck in the exploration of metabolite structures and pharmaceutical activities is the compound purification needed for bioactivity assignments and downstream structure elucidation. To enable bioactivity-focused compound identification from complex mixtures, we develop a scalable native metabolomics approach that integrates non-targeted liquid chromatography tandem mass spectrometry and detection of protein binding via native mass spectrometry. A native metabolomics screen for protease inhibitors from an environmental cyanobacteria community reveals 30 chymotrypsin-binding cyclodepsipeptides. Guided by the native metabolomics results, we select and purify five of these compounds for full structure elucidation via tandem mass spectrometry, chemical derivatization, and nuclear magnetic resonance spectroscopy as well as evaluation of their biological activities. These results identify rivulariapeptolides as a family of serine protease inhibitors with nanomolar potency, highlighting native metabolomics as a promising approach for drug discovery, chemical ecology, and chemical biology studies.