Design and synthesis of potent, non-peptide inhibitors of HCV NS3 protease

Covalent Antiviral Agents

Nowadays, many viral infections have emerged and are taking a huge toll on human lives globally. Meanwhile, viral resistance to current drugs has drastically increased. Hence, there is a pressing need to design potent broad-spectrum antiviral agents to treat a variety of viral infections and overcome viral resistance. Covalent inhibitors have the potential to achieve both goals owing to their biochemical efficiency, prolonged duration of action, and the capability to inhibit shallow, solvent-exposed substrate-binding domains. In this chapter, we review the structures, activities, and inhibition mechanisms of covalent inhibitors against severe acute respiratory syndrome coronavirus 2, dengue virus, enterovirus, hepatitis C virus, human immunodeficiency virus, and influenza viruses. We also discuss the application of in silico study in covalent inhibitor design.

The index of ideality of correlation: QSAR studies of hepatitis C virus NS3/4A protease inhibitors using SMILES descriptors

Robust and reliable QSAR models were developed to predict half-maximal inhibitory concentration (IC₅₀) values of hepatitis C virus NS3/4A protease inhibitors from the Monte Carlo technique. 524 HCV NS3/4A protease inhibitors were extracted from the scientific literature to create a reasonably large set. The models were developed using CORAL software by using two target functions namely target function 1 (TF1) without applying the index of ideality of correlation (IIC) and target function 2 (TF2) that uses IIC. The constructed models based on TF2 were statistically more significant and robust than the models based on TF1. The determination coefficients (r²) of training and test sets were 0.86 and 0.88 for the best split based on TF2. The promoters of the increase/decrease of activity were also extracted and interpreted in detail. The model interpretation results explain the role of different structural attributes in predicting the pIC₅₀ values of hepatitis C virus NS3/4A protease inhibitors. Based on the mechanistic model interpretation results, eight new compounds were designed and their pIC₅₀ values were predicted based on the average prediction of ten models.

QSAR studies of the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by multiple linear regression (MLR) and support vector machine (SVM)

In this study, quantitative structure-activity relationship (QSAR) models using various descriptor sets and training/test set selection methods were explored to predict the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by using a multiple linear regression (MLR) and a support vector machine (SVM) method. 512 HCV NS3/4A protease inhibitors and their IC₅₀ values which were determined by the same FRET assay were collected from the reported literature to build a dataset. All the inhibitors were represented with selected nine global and 12 2D property-weighted autocorrelation descriptors calculated from the program CORINA Symphony. The dataset was divided into a training set and a test set by a random and a Kohonen's self-organizing map (SOM) method. The correlation coefficients (r²) of training sets and test sets were 0.75 and 0.72 for the best MLR model, 0.87 and 0.85 for the best SVM model, respectively. In addition, a series of sub-dataset models were also developed. The performances of all the best sub-dataset models were better than those of the whole dataset models. We believe that the combination of the best sub- and whole dataset SVM models can be used as reliable lead designing tools for new NS3/4A protease inhibitors scaffolds in a drug discovery pipeline.

Achiral pyrazinone-based inhibitors of the hepatitis C virus NS3 protease and drug-resistant variants with elongated substituents directed toward the S2 pocket

Herein we describe the design, synthesis, inhibitory potency, and pharmacokinetic properties of a novel class of achiral peptidomimetic HCV NS3 protease inhibitors. The compounds are based on a dipeptidomimetic pyrazinone glycine P3P2 building block in combination with an aromatic acyl sulfonamide in the P1P1' position. Structure-activity relationship data and molecular modeling support occupancy of the S2 pocket from elongated R(6) substituents on the 2(1H)-pyrazinone core and several inhibitors with improved inhibitory potency down to Ki = 0.11 μM were identified. A major goal with the design was to produce inhibitors structurally dissimilar to the di- and tripeptide-based HCV protease inhibitors in advanced stages of development for which cross-resistance might be an issue. Therefore, the retained and improved inhibitory potency against the drug-resistant variants A156T, D168V, and R155K further strengthen the potential of this class of inhibitors. A number of the inhibitors were tested in in vitro preclinical profiling assays to evaluate their apparent pharmacokinetic properties. The various R(6) substituents were found to have a major influence on solubility, metabolic stability, and cell permeability.

Concise synthesis of an enantiopure bicyclic pyrazinone as constrained peptidomimetic building block

A concise synthetic route has been developed for the preparation of a constrained peptidomimetic pyrazinone building block. From hydroxy-L-lysine, the desired pyrazinone is obtained in 43% overall yield (6 steps) via an efficient deprotection-double cyclization sequence.

Novel macrocyclic HCV NS3 protease inhibitors derived from α-amino cyclic boronates

A novel series of P2-P4 macrocyclic HCV NS3/4A protease inhibitors with α-amino cyclic boronates as warheads at the P1 site was designed and synthesized. When compared to their linear analogs, these macrocyclic inhibitors exhibited a remarkable improvement in cell-based replicon activities, with compounds 9a and 9e reaching sub-micromolar potency in replicon assay. The SAR around α-amino cyclic boronates clearly established the influence of ring size, chirality and of the substitution pattern. Furthermore, X-ray structure of the co-crystal of inhibitor 9a and NS3 protease revealed that Ser-139 in the enzyme active site traps boron in the warhead region of 9a, thus establishing its mode of action.

Exploring the P2 and P3 ligand binding features for hepatitis C virus NS3 protease using some 3D QSAR techniques

Several three-dimensional quantitative structure-activity relationship (3D-QSAR) models have been constructed using the comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA), and catalyst pharmacophore feature building programs for a series of 26 truncated ketoacid inhibitors designed particularly for exploring the P2 and P3 binding pockets of HCV NS3 protease. The structures of these inhibitors were built from a structure template extracted from the crystal structure of HCV NS3 protease. The structures were aligned through docking each inhibitor into the NS3 active site using program GOLD. The best CoMSIA model was identified from the stepwise analysis results and the corresponding pharmacophore features derived were used for constructing a pharmacophore hypothesis by the catalyst program. Pharmacophore features obtained by CoMFA and CoMSIA are found to be in accord with each other and are both mapped onto the molecular 5K surface of NS3 active site. These pharmacophore features were also compared with those obtained by the catalyst program and mapped onto the same NS3 molecular surface. The pharmacophore building process was also performed for 20 boronic acid based NS3 inhibitors characterized by a long hydrophobic side chain attached at position P2. This latter pharmacophore hypothesis built by the catalyst program was also mapped onto the molecular surface of NS3 active site to define a second hydrophobic feature at position P2. The possibility of using the pharmacophore features mapped P2 and P3 binding pocket to design more potent depeptidized NS3 inhibitors was discussed.

High-throughput screening of low molecular weight NS3-NS4A protease inhibitors using a fluorescence resonance energy transfer substrate

Hepatitis C virus (HCV) NS3-NS4A protease is an attractive target for anti-HCV agents because of its important role in replication. An optimized fluorescence resonance energy transfer (FRET) substrate for NS3-NS4A protease, based on the sequence of the NS5A-5B cleavage site, was designed and synthesized. High-throughput screening of in-house compound libraries was performed using a FRET substrate FS10 (MOCAcDKIVPC-SMSYK-Dnp) and MBP-NS3-NS4A fusion protein. Several hit compounds were found, including YZ-9577 (2-oxido-1,2,5-oxadiazole-3,4-diyl) bis (phenylmethanone) with potent inhibitory activity (IC50=1.6 microM) and good selectivity against other human serine proteases.

SAR and pharmacokinetic studies on phenethylamide inhibitors of the hepatitis C virus NS3/NS4A serine protease

SAR on the phenethylamide 1 (Ki 1.2 microM) in the P2- and the P'-position led to potent inhibitors, one of which showed good exposure and low clearance when administered intramuscularly to rat.

Peptide inhibitors of hepatitis C virus NS3 protease

Hepatitis C virus (HCV) is a highly prevalent virus and one of the major agents of chronic hepatitis. Since HCV NS3 protease is essential for the processing of HCV polyprotein, this protease is a target of choice to control HCV replication. Peptide inhibitors of NS3 were developed by selective amino acid replacement of six leader sequences, corresponding to regions of HCV polyprotein that are cleaved by NS3. The large numbers of potential 14-mer and 16-mer peptide inhibitors thus obtained were tested against NS3 using the fluorescent probe RETS1 and peptide cofactor SVVIVGRIILSGRA from NS4A protein. This afforded several peptide inhibitors with an IC50 of around 2 microM. These peptides may be good leading compounds for the development of peptidomimetics to control HCV replication in the treatment of chronic hepatitis C.

Chapter 22. Non-HIV antiviral agents

This chapter focuses on non-HIV antiviral agents. The development of antiviral agents to treat non-HIV infections is largely focused on therapies for the treatment of chronic hepatitis infections B and C. Nucleoside analog continue to be the mainstay of Hepatitis B Virus (HBV) therapeutics. The first small molecule inhibitor of Hepatitis C Virus (HCV), the NS3 protease inhibitor BILN-2061, entered phase 2 clinical trials, producing a striking reduction in viral load in treated individuals. The development of the HCV replicon system and its application to screening for antiviral agents provided tangible benefit with the disclosure of mechanistically and structurally diverse HCV inhibitors. Adefovir dipivoxil has been approved in the United States and the European Union for the treatment of HBV, providing a second small molecule antiviral to add to lamivudine (3TC) and the injectable protein IFNα as the only approved agents for treating HBV infection. The chapter also provides details of the inhibitors of hepatitis B and C virus, the inhibitors of simplex virus and human cytomegalovirus, the inhibitors of respiratory viruses and the inhibitors of West Nile virus and Papilloma virus.