Hans De Winter

Computational Medicinal Chemistry for Drug Discovery

Observing computational chemistrys proven value to the introduction of new medicines, this reference offers the techniques most frequently utilized by industry and academia for ligand design. Featuring contributions from more than fifty pre-eminent scientists, Computational Medicinal Chemistry for Drug Discovery surveys molecular structure computation, intermolecular behavior, ligand-receptor interaction, and modeling responding to market demands in its selection and authoritative treatment of topics. The book examines molecular mechanics, semi-empirical methods, wave function-based quantum chemistry, density functional theory, 3-D structure generation, and hybrid methods.

Pharao: pharmacophore alignment and optimization.

Within the context of early drug discovery, a new pharmacophore-based tool to score and align small molecules (Pharao) is described. The tool is built on the idea to model pharmacophoric features by Gaussian 3D volumes instead of the more common point or sphere representations. The smooth nature of these continuous functions has a beneficent effect on the optimization problem introduced during alignment. The usefulness of Pharao is illustrated by means of three examples: a virtual screening of trypsin-binding ligands, a virtual screening of phosphodiesterase 5-binding ligands, and an investigation of the biological relevance of an unsupervised clustering of small ligands based on Pharao.

Structure and antagonism of the receptor complex mediated by human TSLP in allergy and asthma.

The pro-inflammatory cytokine thymic stromal lymphopoietin (TSLP) is pivotal to the pathophysiology of widespread allergic diseases mediated by type 2 helper T cell (Th2) responses, including asthma and atopic dermatitis. The emergence of human TSLP as a clinical target against asthma calls for maximally harnessing its therapeutic potential via structural and mechanistic considerations. Here we employ an integrative experimental approach focusing on productive and antagonized TSLP complexes and free cytokine. We reveal how cognate receptor TSLPR allosterically activates TSLP to potentiate the recruitment of the shared interleukin 7 receptor α-chain (IL-7Rα) by leveraging the flexibility, conformational heterogeneity and electrostatics of the cytokine. We further show that the monoclonal antibody Tezepelumab partly exploits these principles to neutralize TSLP activity. Finally, we introduce a fusion protein comprising a tandem of the TSLPR and IL-7Rα extracellular domains, which harnesses the mechanistic intricacies of the TSLP-driven receptor complex to manifest high antagonistic potency.

Discovery and SAR of Novel and Selective Inhibitors of Urokinase Plasminogen Activator (uPA) with an Imidazo[1,2-a]pyridine Scaffold

Urokinase plasminogen activator (uPA) is a biomarker and therapeutic target for several cancer types. Its inhibition is regarded as a promising, noncytotoxic approach in cancer therapy by blocking growth and/or metastasis of solid tumors. Earlier, we reported the modified substrate activity screening (MSAS) approach and applied it for the identification of fragments with affinity for uPAs S1 pocket. Here, these fragments are transformed into a novel class of uPA inhibitors with an imidazo[1,2-a]pyridine scaffold. The SAR for uPA inhibition around this scaffold is explored, and the best compounds in the series have nanomolar uPA affinity and selectivity with respect to the related trypsin-like serine proteases (thrombin, tPA, FXa, plasmin, plasma kallikrein, trypsin, FVIIa). Finally, the approach followed for translating fragments into small molecules with a decorated scaffold architecture is conceptually straightforward and can be expected to be broadly applicable in fragment-based drug design.

The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability

A new metric for the evaluation of model performance in the field of virtual screening and quantitative structure–activity relationship applications is described. This metric has been termed the power metric and is defined as the fraction of the true positive rate divided by the sum of the true positive and false positive rates, for a given cutoff threshold. The performance of this metric is compared with alternative metrics such as the enrichment factor, the relative enrichment factor, the receiver operating curve enrichment factor, the correct classification rate, Matthews correlation coefficient and Cohen’s kappa coefficient. The performance of this new metric is found to be quite robust with respect to variations in the applied cutoff threshold and ratio of the number of active compounds to the total number of compounds, and at the same time being sensitive to variations in model quality. It possesses the correct characteristics for its application in early-recognition virtual screening problems.

2,6-Di(arylamino)-3-fluoropyridine Derivatives as HIV Non-Nucleoside Reverse Transcriptase Inhibitors

New non-nucleoside reverse transcriptase inhibitors (NNRTI), which are similar in structure to earlier described di(arylamino)pyrimidines but featuring a 2,6-di(arylamino)-3-fluoropyridine, 2,4-di(arylamino)-5-fluoropyrimidine, or 1,3-di(arylamino)-4-fluorobenzene moiety instead of a 2,4-disubstituted pyrimidine moiety, are reported. The short and practical synthesis of novel NNRTI relies on two sequential Pd-catalyzed aminations as the key steps. It is demonstrated through direct comparison with reference compounds that the presence of a fluorine atom increases the in vitro anti-HIV activity, both against the wild type virus and drug-resistant mutant strains.

Novel selective glucocorticoid receptor agonists (SEGRAs) with a covalent warhead for long-lasting inhibition

The synthesis and in vitro properties of six analogues of the selective glucocorticoid receptor (GR) agonist GSK866, bearing a warhead for covalent linkage to the glucocorticoid receptor, is described.

Resistance and cross-resistance profile of the diaryltriazine NNRTI and candidate microbicide UAMC01398

OBJECTIVES The resistance development, cross-resistance to other NNRTIs and the impact of resistance on viral replicative fitness were studied for the new and potent NNRTI UAMC01398. METHODS Resistance was selected by dose escalation and by single high-dose selection against a comprehensive panel of NNRTIs used as therapeutics and NNRTIs under investigation for pre-exposure prophylaxis of sexual HIV transmission. A panel of 27 site-directed mutants with single mutations or combinations of mutations involved in reverse transcriptase (RT) inhibitor-mediated resistance was developed and used to confirm resistance to UAMC01398. Cross-resistance to other NNRTIs was assessed, as well as susceptibility of UAMC01398-resistant HIV to diarylpyrimidine-resistant viruses. Finally, the impact of UAMC01398 resistance on HIV replicative fitness was studied. RESULTS We showed that UAMC01398 has potent activity against dapivirine-resistant HIV, that at least four mutations in the RT are required in concert for resistance and that the resistance profile is similar to rilpivirine, both genotypically and phenotypically. Resistance development to UAMC01398 is associated with a severe fitness cost. CONCLUSIONS These data, together with the enhanced safety profile and good solubility in aqueous gels, make UAMC01398 an excellent candidate for HIV topical prevention.

Tozasertib Analogues as Inhibitors of Necroptotic Cell Death

Receptor interacting protein kinase 1 (RIPK1) plays a crucial role in tumor necrosis factor (TNF)-induced necroptosis, suggesting that this pathway might be druggable. Most inhibitors of RIPK1 are classified as either type II or type III kinase inhibitors. This opened up some interesting perspectives for the discovery of novel inhibitors that target the active site of RIPK1. Tozasertib, a type I pan-aurora kinase (AurK) inhibitor, was found to show a very high affinity for RIPK1. Because tozasertib presents the typical structural elements of a type I kinase inhibitor, the development of structural analogues of tozasertib is a good starting point for identifying novel type I RIPK1 inhibitors. In this paper, we identified interesting inhibitors of mTNF-induced necroptosis with no significant effect on AurK A and B, resulting in no nuclear abnormalities as is the case for tozasertib. Compounds 71 and 72 outperformed tozasertib in an in vivo TNF-induced systemic inflammatory response syndrome (SIRS) mouse model.

Probing for improved selectivity with dipeptide-derived inhibitors of dipeptidyl peptidases 8 and 9: the impact of P1-variation

Selected pyrrolidines, 2-cyanopyrrolidines and heteroaromatic isoindoline analogues were evaluated as P1-residues in dipeptide-derived inhibitors of DPP8/9. Potency testing indicates that DPP8 or DPP9 specificity cannot be obtained with the selected set of P1- and P2-fragments. Nonetheless, the nanomolar DPP8/9 potencies and remarkable selectivities with respect to DPP IV and DPPII, makes inhibitors 4c and 4h suitable “leads” for future inhibitor optimization effort.