Susanne Winiwarter

Acyl sulfonamides as potent protease inhibitors of the hepatitis C virus full-length NS3 (protease-helicase/NTPase): A comparative study of different C-terminals

Synthesis and inhibitory potencies of three types of protease inhibitors of the hepatitis C virus (HCV) full-length NS3 (protease-helicase/NTPase) are reported: (i) inhibitors comprising electrophilic serine traps (pentafluoroethyl ketones, alpha-keto acids, and alpha-ketotetrazoles), (ii) product-based inhibitors comprising a C-terminal carboxylate group, and (iii) previously unexplored inhibitors comprising C-terminal carboxylic acid bioisosteres (tetrazoles and acyl sulfonamides). Bioisosteric replacement with the tetrazole group provided inhibitors equally potent to the corresponding carboxylates, and substitution with the phenyl acyl sulfonamide group yielded more potent inhibitors. The hexapeptide inhibitors Suc-Asp-D-Glu-Leu-Ile-Cha-Nva-NHSO(2)Ph and Suc-Asp-D-Glu-Leu-Ile-Cha-ACPC-NHSO(2)Ph with K(i) values of 13.6 and 3.8 nM, respectively, were approximately 20 times more potent than the corresponding inhibitors with a C-terminal carboxylate and were comparable to the carboxylate-based inhibitor containing the native cysteine, Suc-Asp-D-Glu-Leu-Ile-Cha-Cys-OH (K(i)=28 nM). The acyl sulfonamide group constitutes a very promising C-terminal functionality that allows for prime site optimization.

Hydrogen bonding descriptors in the prediction of human in vivo intestinal permeability

Hydrogen bonding has been identified as an important parameter for describing drug permeability. Recently, we derived models for predicting intestinal permeability using the hydrogen bonding descriptors polar surface area (PSA) and number of hydrogen bond donors (HBD), and a lipophilicity descriptor [J. Med. Chem. 41 (1998) 4939]. We have now explored other types of hydrogen bonding descriptors to see if these improve the models. Both an experimental hydrogen bonding descriptor, deltalogP, and calculated descriptors, based either on semiempirical calculations or on experimentally derived hydrogen bond strength values of small molecules, were used. Principal component analyses (PCA) were performed in order to characterize the different parameters, using both a drug data set and a data set of small non-drug-like molecules for which deltalogP-values had been published. For a set of diverse drug molecules, for which human intestinal permeability data was available, a PLS-analysis was performed to study the correlation of permeability to the different hydrogen bonding parameters. No correlation could be identified between deltalogP and human intestinal permeability in this data set. However, the combination of a hydrogen bond donor descriptor, a general hydrogen bonding descriptor and a lipophilicity descriptor enabled the prediction of human intestinal permeability, whereas hydrogen bond acceptor descriptors were found to be less important. The obtained models successfully predicted the intestinal permeability values of two external data sets.

Tetrapeptides as Potent Protease Inhibitors of Hepatitis C Virus Full-Length NS3 (Protease-Helicase/NTPase)

A library of tetrapeptides was evaluated for Hepatitis C Virus NS3 protease inhibitor activity in an in vitro assay system comprising the native bifunctional full-length NS3 (protease-helicase/NTPase) protein. Tetrapeptides with K(i) values in the high nanomolar range were identified, for example Suc-Chg-Glu-2-Nal-Cys (K(i)=0.27+/-0.03 microM) and Suc-Dif-Glu-Glu-Cys (K(i)=0.40+/-0.10 microM). Furthermore, it was shown that the inhibitory potencies are not affected significantly by assay ionic strength. As suggested by molecular modelling, potential binding interactions of the tetrapeptide inhibitors with the helicase domain might explain the data and structure-activity relationships thus obtained. Hence, we postulate that the full-length NS3 assay is a relevant system for inhibitor identification, offering new opportunities for inhibitor design.

Inhibition of hepatitis C virus NS3 protease activity by product-based peptides is dependent on helicase domain.

Structure activity relationships (SARs) of product-based inhibitors of hepatitis C virus NS3 protease were evaluated using an in vitro assay system comprising the native bifunctional full-length NS3 (protease-helicase/NTPase). The results were compared to previously reported data derived from the corresponding NS3 protease domain assay. Shortening the length of the protease inhibitors from hexapeptides to tripeptides revealed that the decrease in potency was much less when determined in the assay system with the full-length NS3 protein. Disagreements in SARs at different positions (P5 P2) were also discovered. Taken together, the results suggest that the impact of the helicase domain upon protease inhibitor binding is substantial.

Discovery of AZD6642, an Inhibitor of 5-Lipoxygenase Activating Protein (FLAP) for the Treatment of Inflammatory Diseases

A drug discovery program in search of novel 5-lipoxygenase activating protein (FLAP) inhibitors focused on driving a reduction in lipophilicity with maintained or increased ligand lipophilic efficiency (LLE) compared to previously reported compounds led to the discovery of AZD6642 (15b). Introduction of a hydrophilic tetrahydrofuran (THF) ring at the stereogenic central carbon atom led to a significant shift in physicochemical property space. The structure-activity relationship exploration and optimization of DMPK properties leading to this compound are described in addition to pharmacokinetic analysis and an investigation of the pharmacokinetic (PK)-pharmacodynamic (PD) relationship based on ex vivo leukotriene B4 (LTB4) levels in dog. AZD6642 shows high specific potency and low lipophilicity, resulting in a selective and metabolically stable profile. On the basis of initial PK/PD relation measured, a low dose to human was predicted.

In Silico Absorption, Distribution, Metabolism, Excretion, and Pharmacokinetics (ADME-PK): Utility and Best Practices. An Industry Perspective from the International Consortium for Innovation through Quality in Pharmaceutical Development

In silico tools to investigate absorption, distribution, metabolism, excretion, and pharmacokinetics (ADME-PK) properties of new chemical entities are an integral part of the current industrial drug discovery paradigm. While many companies are active in the field, scientists engaged in this area do not necessarily share the same background and have limited resources when seeking guidance on how to initiate and maintain an in silico ADME-PK infrastructure in an industrial setting. This work summarizes the views of a group of industrial in silico and experimental ADME scientists, participating in the In Silico ADME Working Group, a subgroup of the International Consortium for Innovation through Quality in Pharmaceutical Development (IQ) Drug Metabolism Leadership Group. This overview on the benefits, caveats, and impact of in silico ADME-PK should serve as a resource for medicinal chemists, computational chemists, and DMPK scientists working in drug design to increase their knowledge in the area.

Correlation of Intestinal Drug Permeability in Humans (In Vivo) with Experimentally and Theoretically Derived Parameters

The extent of intestinal drug absorption, often described by the fraction of drug absorbed (Fa), is governed by several different processes: (a) dose/dissolution ratio, (b) chemical degradation and/or metabolism in the lumen, (c) complex binding in the lumen, intestinal transit, and (d) effective permeability (Peff) across the intestinal mucosa. In many cases Peff is considered to be the rate-limiting step in the overall absorption process and is therefore an interesting parameter in bioavailability studies.

Investigating the Mimetic Potential of β-Turn Mimetics

The β-turn is a common structural feature in peptides and proteins, consisting of four consecutive amino acids with a distance of less than 7A between the Cα atoms of the first and fourth amino acid (dα).1 Since β-turns are often considered to be important for molecular recognition, they are interesting templates to use in the design and synthesis of peptidomimetics. It is important to know precisely which β-turn conformation(s) the peptidomimetic corresponds to. A classification scheme that is not dependent on the peptide backbone is necessary to classify both peptides and peptidomimetics. We analysed β-turn conformations geometrically and classified them according to the relationships between the directions of the characteristic bonds 1, 2, 3 and 4 (see Figure la).