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Nuclear magnetic resonance (NMR) data from NOESY (nuclear Overhauser enhancement spectroscopy) and ROESY (rotating frame Overhauser enhancement spectroscopy) experiments can easily be combined with distance geometry (DG) based conformer generators by modifying the molecular distance bounds matrix. In this work, we extend the modern DG based conformer generator ETKDG, which has been shown to reproduce experimental crystal structures from small molecules to large macrocycles well, to include NOE-derived interproton distances. In noeETKDG, the experimentally derived interproton distances are incorporated into the distance bounds matrix as loose upper (or lower) bounds to generate large conformer sets. Various subselection techniques can subsequently be applied to yield a conformer bundle that best reproduces the NOE data. The approach is benchmarked using a set of 24 (mostly) cyclic peptides for which NOE-derived distances as well as reference solution structures obtained by other software are available. With respect to other packages currently available, the advantages of noeETKDG are its speed and that no prior force-field parametrization is required, which is especially useful for peptides with unnatural amino acids. The resulting conformer bundles can be further processed with the use of structural refinement techniques to improve the modeling of the intramolecular nonbonded interactions. The noeETKDG code is released as a fully open-source software package available at www.github.com/rinikerlab/customETKDG.

USP7 is a deubiquitinase implicated in destabilizing the tumor suppressor p53, and for this reason it has gained increasing attention as a potential oncology target for small molecule inhibitors. Herein we describe the biophysical, biochemical, and computational approaches that led to the identification of 4-(2-aminopyridin-3-yl)phenol compounds described by Kategaya(Nature2017, 550, 534–538)as specific inhibitors of USP7. Fragment based lead discovery (FBLD) by NMR combined with virtual screening and re-mining of biochemical high-throughput screening (HTS) hits led to the discovery of a series of ligands that bind in the “palm” region of the catalytic domain of USP7 and inhibit its catalytic activity. These ligands were then optimized by structure-based design to yield cell-active molecules with reasonable physical properties. This discovery process not only involved multiple techniques working in concert but also illustrated a unique way in which hits from orthogonal screening approaches complemented each other for lead identification.

Disulfide-constrained peptides (DCPs) have gained increased attention as a drug modality due to their exceptional stability and combined advantages of large biologics and small molecules. Chemical synthesis, although widely used to produce DCPs, is associated with high cost, both economically and environmentally. To reduce the dependence on solid phase peptide synthesis and the negative environmental footprint associated with it, we present a highly versatile, low-cost, and environmentally friendly bioproduction platform to generate DCPs and their conjugates as well as chemically modified or isotope-labeled DCPs. Using the DCP against the E3 ubiquitin ligase Zinc and Ring Finger 3, MK1-3.6.10, as a model peptide, we have demonstrated the use of bacterial expression, combined with Ser ligation or transglutaminase-mediated XTEN ligation, to produce multivalent MK1-3.6.10 and MK1-3.6.10 with N-terminal functional groups. We have also developed a bioproduction method for the site-specific incorporation of unnatural amino acids into recombinant DCPs by the amber codon suppression system. Lastly, we produced 15N/13C-labeled MK1-3.6.10 with high yield and assessed the performance of a semiautomated resonance assignment workflow that could be used to accelerate binding studies and structural characterization of DCPs. This study provides a proof of concept to generate functionalized DCPs using bioproduction, providing a potential solution to alleviate the reliance on hazardous chemicals, reduce the cost, and expedite the timeline for DCP discovery.

Proprotein convertase subtilisin/kexin type 9 (PCSK9) regulates plasma LDL cholesterol (LDL-c) levels by promoting the degradation of liver LDL receptors (LDLRs). Antibodies that inhibit PCSK9 binding to the EGF(A) domain of the LDLR are effective in lowering LDL-c. However, the discovery of small-molecule therapeutics is hampered by difficulty in targeting the relatively flat EGF(A)-binding site on PCSK9. Here we demonstrate that it is possible to target this site, based on the finding that the PCSK9 P′ helix displays conformational flexibility. As a consequence, the vacated N-terminal groove of PCSK9, which is adjacent to the EGF(A)-binding site, is in fact accessible to small peptides. In phage-display experiments, the EGF(A)-mimicking peptide Pep2-8 was used as an anchor peptide for the attachment of an extension peptide library directed toward the groove site. Guided by structural information, we further engineered the identified groove-binding peptides into antagonists, which encroach on the EGF(A)-binding site and inhibit LDLR binding.

Bacterial richness in maritime Antarctica has been poorly described to date. Phylogenetic affiliation of seawater free-living microbial assemblages was studied from three locations near the Argentinean Jubany Station during two Antarctic summers. Sixty 16S RNA cloned sequences were phylogenetically affiliated to Alphaproteobacteria(30/60 clones), Gammaproteobacteria(19/60 clones), Betaproteobacteriaand Cytophaga–Flavobacteriia–Bacteroides(CFB), which were (2/60) and (3/60) respectively. Furthermore, six out of 60 clones could not be classified. Both, Alphaproteobacteriaand Gammaproteobacteria, showed several endemic and previously undescribed sequences. Moreover, the absence of Cyanobacteriasequences in our samples is remarkable. In conclusion, we are reporting a rich sequence assemblage composed of widely divergent isolates among themselves and distant from the most closely related sequences currently deposited in data banks.