SARS coronavirus main protease (SARS-CoV M(pro)) is essential for the replication of the virus and regarded as a major antiviral drug target. The enzyme is a cysteine protease, with a catalytic dyad (Cys-145/His-41) in the active site. Aldehyde inhibitors can bind reversibly to the active-site sulfhydryl of SARS-CoV M(pro). Previous studies using peptidic substrates and inhibitors showed that the substrate specificity of SARS-CoV M(pro) requires glutamine in the P1 position and a large hydrophobic residue in the P2 position. We determined four crystal structures of SARS-CoV M(pro) in complex with pentapeptide aldehydes (Ac-ESTLQ-H, Ac-NSFSQ-H, Ac-DSFDQ-H, and Ac-NSTSQ-H). Kinetic data showed that all of these aldehydes exhibit inhibitory activity towards SARS-CoV M(pro), with K(i) values in the μM range. Surprisingly, the X-ray structures revealed that the hydrophobic S2 pocket of the enzyme can accommodate serine and even aspartic-acid side-chains in the P2 positions of the inhibitors. Consequently, we reassessed the substrate specificity of the enzyme by testing the cleavage of 20 different tetradecapeptide substrates with varying amino-acid residues in the P2 position. The cleavage efficiency for the substrate with serine in the P2 position was 160-times lower than that for the original substrate (P2=Leu); furthermore, the substrate with aspartic acid in the P2 position was not cleaved at all. We also determined a crystal structure of SARS-CoV M(pro) in complex with aldehyde Cm-FF-H, which has its P1-phenylalanine residue bound to the relatively hydrophilic S1 pocket of the enzyme and yet exhibits a high inhibitory activity against SARS-CoV M(pro), with K(i)=2.24±0.58 μM. These results show that the stringent substrate specificity of the SARS-CoV M(pro) with respect to the P1 and P2 positions can be overruled by the highly electrophilic character of the aldehyde warhead, thereby constituting a deviation from the dogma that peptidic inhibitors need to correspond to the observed cleavage specificity of the target protease.

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Dedicated to Professor Günther Jung on the occasion of his 70th birthdayThe conventional approach to identify biologically active, druglike small molecules is based on high-throughput screening (HTS) of chemical libraries. However, the composition of large chemical libraries and their screening are time-consuming and expensive endeavors; the success relies heavily on the quality of the available libraries, and even the largest library can span only a minute section of the virtual chemical space. Therefore, over the past decade several strategies have been proposed to facilitate the development process by using the protein target as a template for ligand assembly.[1-3] The binding of low-molecular-weight fragments has been detected "directly" by NMR spectroscopy [2a, b] or X-ray crystallography. [2c, d] These biophysical methods have been demonstrated to provide low-affinity ligands as rational starting points for the iterative development of potent protein binders. Alternatively, protein-binding molecules have been identified from mixtures of compounds formed in dynamic equilibria. In the presence of a protein the equilibrium was shifted, and the best binding products were concentrated in the mixture and could be detected by chromatography, mass spectrometry, or NMR spectroscopy.[3a, b] The reported fragment-based methods have in common that they detect binding, not biological activity. Moreover, all these methods require large amounts of protein and test compounds and suffer from the difficult, timeconsuming, and expensive detection of active compounds.We envisioned that the detection of bioactive ligands should be sensitized considerably if reversibly formed ligation products compete in dynamic equilibrium with a fluorogenic reporter substrate for an enzyme (Figure 1). This approach would combine dynamic, target-assisted formation of inhibitory species and detection by a fluorescence-based screening methodology; thus, we designated it dynamic ligation screening (DLS). In DLS, the application of chemically reactive inhibitors as directing probes should enable the testing of inhibitory fragments for a defined binding site on the protein surface. Using an enzymatic reaction for fragment detection amplifies the signals and thus reduces the required amount of protein drastically. Finally, enzymatic detection with a fluorescent reporter molecule should enable high-throughput screening (HTS) in microtiter plates (MTPs); thus, for the first time conventional HTS methodology could be employed in fragment-based dynamic ligand development.The SARS coronavirus main protease (SARS-CoV M pro ; SARS = severe acute respiratory syndrome) was selected as the protein target to demonstrate the DLS approach. SARSCoV M pro is a cysteine protease that is essential for replication of the virus inside the infected host cell. Thus, it has been proposed as a drug target for SARS and-owing to the reported high homology among coronaviral main proteasesalso for other coronaviral infections.[5] Several irreversible (covalent) peptide-based...

A method for the parallel solid-phase synthesis of peptide aldehydes has been developed. Protected amino acid aldehydes obtained by the racemization-free oxidation of amino alcohols with Dess-Martin periodinane were immobilized on threonyl resins as oxazolidines. Following Boc protection of the ring nitrogen to yield the N-protected oxazolidine linker, peptide synthesis was performed efficiently on this resin. A peptide aldehyde library was designed for targeting the SARS coronavirus main protease, SARS-CoV M(pro)(also known as 3CL(pro)), on the basis of three different reported binding modes and supported by virtual screening. A set of 25 peptide aldehydes was prepared by this method and investigated in inhibition assays against SARS-CoV M(pro). Several potent inhibitors were found with IC(50) values in the low micromolar range. An IC(50) of 7.5 muM was found for AcNSTSQ-H and AcESTLQ-H. Interestingly, the most potent inhibitors seem to bind to SARS-CoV M(pro) in a noncanonical binding mode.

Fragment-based methods for drug discovery are increasingly popular because they provide drug leads with greater ligand efficiency than conventional high-throughput screening. However, established methods for fragment detection do not address the central question in fragment-based ligand discovery: how can a primary ligand be optimally extended by a secondary fragment? Dynamic screening methods solve this issue by using a protein target as a template for ligand assembly, thus yielding high-affinity binders from low-affinity fragments. This review summarizes recent work on dynamic screening methodology, which resulted in the development of several high-affinity binders for various targets. Strengths and limitations of the published approaches are discussed and possible contributions of dynamic screening methodology to the drug discovery process are highlighted.

Background The complex composition of different cell types within a tissue can be estimated by deconvolution of bulk gene expression profiles or with various single-cell sequencing approaches. Alternatively, DNA methylation (DNAm) profiles have been used to establish an atlas for multiple human tissues and cell types. DNAm is particularly suitable for deconvolution of cell types because each CG dinucleotide (CpG site) has only two states per DNA strand—methylated or non-methylated—and these epigenetic modifications are very consistent during cellular differentiation. So far, deconvolution of DNAm profiles implies complex signatures of many CpGs that are often measured by genome-wide analysis with Illumina BeadChip microarrays. In this study, we investigated if the characterization of cell types in tissue is also feasible with individual cell type-specific CpG sites, which can be addressed by targeted analysis, such as pyrosequencing. Results We compiled and curated 579 Illumina 450k BeadChip DNAm profiles of 14 different non-malignant human cell types. A training and validation strategy was applied to identify and test for cell type-specific CpGs. We initially focused on estimating the relative amount of fibroblasts using two CpGs that were either hypermethylated or hypomethylated in fibroblasts. The combination of these two DNAm levels into a “FibroScore” correlated with the state of fibrosis and was associated with overall survival in various types of cancer. Furthermore, we identified hypomethylated CpGs for leukocytes, endothelial cells, epithelial cells, hepatocytes, glia, neurons, fibroblasts, and induced pluripotent stem cells. The accuracy of this eight CpG signature was tested in additional BeadChip datasets of defined cell mixtures and the results were comparable to previously published signatures based on several thousand CpGs. Finally, we established and validated pyrosequencing assays for the relevant CpGs that can be utilized for classification and deconvolution of cell types. Conclusion This proof of concept study demonstrates that DNAm analysis at individual CpGs reflects the cellular composition of cellular mixtures and different tissues. Targeted analysis of these genomic regions facilitates robust methods for application in basic research and clinical settings.

Putting the pieces together: A chemically reactive fluorescence polarization (FP) probe can be use to detect positively cooperative fragments through the overadditive binding of their ligation products. For confirmation, an stable derivative of the ligation product was prepared and found to be significantly more active than all previously reported caspase‐3 inhibitors.

We have identified highly selective imidazopyridines armed with benzimidazol and/or arylimidazole as potent β-secretase inhibitors. The most effective and selective analogues demonstrated low nanomolar potency for the BACE1 enzyme as measured by FRET and cell-based (ELISA) assays and exhibited comparable affinity (KI) and high ligand efficiency (LE). In addition, these motifs were highly selective (>200) against the structurally related aspartyl protease BACE2. Our design strategy followed a traditional SAR approach and was supported by molecular modeling studies based on the previously reported hydroxyethylene transition state inhibitor derived from isophthalic acid I. Of the most potent compounds, 34 displayed an IC50 for BACE1 of 18 nM and exhibited cellular activity with an EC50 of 37 nM in the cell-based ELISA assay, as well as high affinity (KI=17 nM) and ligand efficiency (LE=1.7 kJ/mol). Compound 34 was found to be 204-fold more selective for BACE1 compared to the closely related aspartyl protease BACE2.