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The Nef protein of human and simian immunodeficiency viruses (HIV and SIV, respectively) boosts viral pathogenicity through its interactions with host cell proteins. Nef has a folded core domain and large flexible regions, each carrying several protein interaction sites. By combining the polyvalency intrinsic to unstructured regions with the binding selectivity and strength of a 3D folded domain, Nef can bind to many different host cell proteins, perturbing their cellular functions. For example, the combination of a linear proline-rich motif and a hydrophobic core domain surface allows Nef to increase affinity and selectivity for particular Src family SH3 domains. Here we investigated whether the interplay between Nef’s flexible regions and its core domain can allosterically influence ligand selection. We found that the flexible regions can bind back to the core domain in different ways, producing distinct conformational states that alter the SH3 domain selectivity and availability of Nef’s functional motifs. The resulting cross-talk might help synergising certain subsets of ligands while excluding others, promoting functionally coherent Nef-bound protein ensembles. Further, we combined proteomic and bioinformatic analyses to identify human proteins that select SH3 domains in the same way as does Nef. We found that only 2–3% of clones from a whole human fetal library displayed a Nef-like SH3 selectivity. However, in most cases this selectivity appears to be achieved by a canonical linear interaction rather than a Nef-like ‘tertiary’ interaction. This analysis suggests that Nef’s SH3 recognition surface has no (or marginally few) cellular counterparts, validating the Nef tertiary binding surface as a promising unique drug target.

CTX-M15 is one of the most widespread, extended spectrum β-lactamases, a major determinant of antibiotic resistance representing urgent public health threats, among enterobacterial strains infecting humans and animals. Here we describe the selection of binders to CTX-M15 from a combinatorial affibody library displayed on ribosomes. Upon three increasingly selective ribosome display iterations, selected variants were identified by next generation sequencing (NGS). Nine affibody variants with high relative abundance bearing QRP and QLH amino acid motifs at residues 9–11 were produced and characterized in terms of stability, affinity and specificity. All affibodies were correctly folded, with affinities ranging from 0.04 to 2 μM towards CTX-M15, and successfully recognized CTX-M15 in bacterial lysates, culture supernatants and on whole bacteria. It was further demonstrated that the binding of affibody molecules to CTX-M15 modulated the enzyme’s kinetic parameters. This work provides an approach using ribosome display coupled to NGS for the rapid generation of protein ligands of interest in diagnostic and research applications.

In the past decades protein nanoparticles have successfully been used for vaccine applications. Their particulate nature and dense repetitive subunit organization makes them perfect carriers for antigen surface display and confers high immunogenicity. Nanoparticles have emerged as excellent candidates for vectorization of biological and immunostimulating molecules. Nanoparticles and biomolecular nanostructures such as ferritins or virus like particles have been used as diagnostic and therapeutic delivery systems, in vaccine development, as nanoreactors, etc. Recently, a new class of bacterial protein compartment has been discovered referred to as encapsulin nanocompartment. These compartments have been used for targeted diagnostics, as therapeutic delivery systems and as nanoreactors. Their biological origin makes them conveniently biocompatible and allows genetic functionalization. The aim of our study was to implement encapsulin nanocompartements for simultaneous epitope surface display and heterologous protein loading for rational vaccine design. For this proof-of-concept-study, we produced Thermotoga maritima encapsulin nanoparticles in E. coli. We demonstrated the ability of simultaneous display in our system by inserting Matrix protein 2 ectodomain (M2e) of influenza A virus at the nanoparticle surface and by packaging of a fluorescent reporter protein (GFP) into the internal cavity. Characterization of the nanoparticles by electronic microscopy confirmed homogenously shaped particles of 24 nm diameter in average. The results further show that engineering of the particle surface improved the loading capacity of the heterologous reporter protein suggesting that surface display may induce a critical elastic deformation resulting in improved stiffness. In Balb/c mice, nanoparticle immunization elicited antibody responses against both the surface epitope and the loaded cargo protein. These results confirm the potential of encapsulin nanocompartments for customized vaccine design and antigen delivery.

Masitinib, a highly selective protein kinase inhibitor, can sensitise gemcitabine-refractory cancer cell lines when used in combination with gemcitabine. Here we report a reverse proteomic approach that identifies the target responsible for this sensitisation: the deoxycytidine kinase (dCK). Masitinib, as well as other protein kinase inhibitors, such as imatinib, interact with dCK and provoke an unforeseen conformational-dependent activation of this nucleoside kinase, modulating phosphorylation of nucleoside analogue drugs. This phenomenon leads to an increase of prodrug phosphorylation of most of the chemotherapeutic drugs activated by this nucleoside kinase. The unforeseen dual activity of protein kinase inhibition/nucleoside kinase activation could be of great therapeutic benefit, through either reducing toxicity of therapeutic agents by maintaining effectiveness at lower doses or by counteracting drug resistance initiated via down modulation of dCK target., Masitinib is a protein kinase inhibitor that sensitises refractory pancreatic adenocarcinoma cells to treatment with the nucleoside analog gemcitabine. Here the authors show that Masitinib activates deoxycytidine kinase to enhance phosphorylation of nucleoside analogue pro-drugs, increasing their potency.

A midthroughput screening follow-up program targeting the first bromodomain of the human BRD4 protein, BRD4(BD1), identified an acetylated-mimic xanthine derivative inhibitor. This compound binds with an affinity in the low micromolar range yet exerts suitable unexpected selectivity in vitro against the other members of the bromodomain and extra-terminal domain (BET) family. A structure-based program pinpointed a role of the ZA loop, paving the way for the development of potent and selective BET-BRDi probes.

Protein-protein interactions (PPIs) represent an enormous source of opportunity for therapeutic intervention. We and others have recently pinpointed key rules that will help in identifying the next generation of innovative drugs to tackle this challenging class of targets within the next decade. We used these rules to design an oriented chemical library corresponding to a set of diverse 'PPI-like' modulators with cores identified as privileged structures in therapeutics. In this work, we purchased the resulting 1664 structurally diverse compounds and evaluated them on a series of representative protein-protein interfaces with distinct "druggability" potential using Homogeneous Time-Resolved Fluorescence (HTRF®) technology. For certain PPI classes, analysis of the hit rates revealed up to 100 enrichment factors compared with non-oriented chemical libraries. This observation correlates with the predicted "druggability" of the targets. A specific focus on selectivity profiles, the three-dimensional (3D) molecular modes of action resolved by X-ray crystallography, and the biological activities of identified hits targeting the well-defined "druggable" bromodomains of the bromo and extraterminal (BET) family are presented as a proof-of-concept. Overall, our present study illustrates the potency of machine learning-based oriented chemical libraries to accelerate the identification of hits targeting PPIs. A generalization of this method to a larger set of compounds will accelerate the discovery of original and potent probes for this challenging class of targets.

Several protein-protein interactions within the SARS-CoV proteome have been identified, one of them being between non-structural proteins nsp10 and nsp16. In this work, we have mapped key residues on the nsp10 surface involved in this interaction. Alanine-scanning mutagenesis, bioinformatics, and molecular modeling were used to identify several "hot spots," such as Val(42), Met(44), Ala(71), Lys(93), Gly(94), and Tyr(96), forming a continuous protein-protein surface of about 830 Å(2), bearing very conserved amino acids among coronaviruses. Because nsp16 carries RNA cap 2'-O-methyltransferase (2'O-MTase) activity only in the presence of its interacting partner nsp10 (Bouvet, M., Debarnot, C., Imbert, I., Selisko, B., Snijder, E. J., Canard, B., and Decroly, E. (2010) PLoS Pathog. 6, e1000863), functional consequences of mutations on this surface were evaluated biochemically. Most changes that disrupted the nsp10-nsp16 interaction without structural perturbations were shown to abrogate stimulation of nsp16 RNA cap 2'O-MTase activity. More strikingly, the Y96A mutation abrogates stimulation of nsp16 2'O-MTase activity, whereas Y96F overstimulates it. Thus, the nsp10-nsp16 interface may represent an attractive target for antivirals against human and animal pathogenic coronaviruses.

Macrophage migration inhibitory factor (MIF) is a major proinflammatory cytokine that has been increasingly implicated in the pathogenesis of several inflammatory, autoimmune, infectious and oncogenic diseases. Accumulating evidence suggests that the tautomerase activity of MIF plays a role in modulating some of its intra- and extra-cellular activities. Therefore, the identification and development of small-molecule inhibitors targeting the catalytic activity of MIF has emerged as an attractive and viable therapeutic strategy to attenuate its function in health and disease. Herein we report a novel virtual screening protocol for the discovery of new inhibitors of MIF's tautomerase activity. Our protocol takes into account the flexibility and dynamics of the catalytic site by coupling molecular dynamics (MD) simulations aimed at modeling the protein's flexibility in solution to (i) docking with FlexX, or (ii) docking with FlexX and pharmacophoric filtering with Unity. In addition, we applied in parallel a standalone docking using the new version of Surflex software. The three approaches were used to screen the ChemBridge chemical library and the inhibitory activity of the top-ranked 333 compound obtained from each approach (1000 compound in total) was assessed in vitro using the tautomerase assay. This biochemical validation process resulted in the identification of 12 novel MIF inhibitors corresponding to a 1.2% hit rate. Six of these hits came from Surflex docking; two from FlexX docking with MD simulations and four hits were identified with MDS and pharmacophore filtering with minimal overlap between the hits from each approach. Six hits were identified with IC50 values lower than 10 microM (three hits with IC50 lower than 1 microM); four were shown to be suicide inhibitors and act via covalent modification of the N-terminal catalytic residues Pro1. One additional inhibitor, N-phenyl-N-1,3,4-thiadiazol-2-yl-thiourea, (IC50=300 nM) was obtained from FlexX docking combined to pharmacophoric filtering on one of the eight MD structures. These results demonstrate the power of integrative in silico approaches in the discovery of new modulator of MIF's tautomerase activity. The chemical diversity and mode of action of these compounds suggest that they could be used as molecular probes to elucidate the functions and biology of MIF and as lead candidates in drug developments of anti-MIF drugs.

The HIV-1 auxiliary protein Nef is required for the onset and progression of AIDS in HIV-1-infected persons. Here, we have deciphered the mode of action of a second-generation inhibitor of Nef, DLC27-14, presenting a competitive IC(50) of ∼16 μM measured by MALDI-TOF experiments. Thermal protein denaturation experiments revealed a negative effect on stability of Nef in the presence of a saturating concentration of the inhibitor. The destabilizing action of DLC27-14 was confirmed by a HIV protease-based experiment, in which the protease sensitivity of DLC27-14-bound Nef was three times as high as that of apo Nef. The only compatible docking modes of action for DLC27-14 suggest that DLC27-14 promotes an opening of two α-helices that would destabilize the Nef core domain. DLC27-14 thus acts as a specific protein disorder catalyzer that destabilizes the folded conformation of the protein. Our results open novel avenues toward the development of next-generation Nef inhibitors.