Bernard Pirard

Binding site of a novel Kv1.5 blocker: a "foot in the door" against atrial fibrillation.

Kv1.5 channel blockers prolong atrial action potentials and may prevent atrial flutter or fibrillation without affecting ventricular repolarization. Here we characterize the mechanisms of action of 2′-{[2-(4-methoxy-phenyl)-acetylamino]-methyl}-biphenyl-2-carboxylic acid (2-pyridin-3-yl-ethyl)-amide (AVE0118) on Kv1.5 channels heterologously expressed in Xenopus laevis oocytes. Whole cell currents in oocytes were recorded using the two-microelectrode voltage clamp technique. AVE0118 blocked Kv1.5 current in oocytes with an IC50 of 5.6 μM. Block was enhanced by higher rates of stimulation, consistent with preferential binding of the drug to the open state of the channel. Ala-scanning mutagenesis of the pore domain of Kv1.5 identified the amino acids Thr479, Thr480, Val505, Ile508, Val512, and Val516 as important residues for block by AVE0118. A homology model of the pore region of Kv1.5 predicts that these six residues face toward the central cavity of the channel. In addition, mutation of two other S6 residues (Ile502 and Leu510) that are predicted to face away from the central cavity also diminished drug block. All these putative drug-binding residues are highly conserved in other Kv channels, explaining our finding that AVE0118 also blocked Kv1.3, Kv2.1, Kv3.1, and Kv4.3 channels with similar potency. Docking of AVE0118 into the inner cavity of a Kv1.5 pore homology model predicted an unusual binding mode. The drug aligned with the inner S6 α-helical domain in a manner predicted to block the putative activation gate. This “foot-in-the-door” binding mode is consistent with the observation that the drug slowed the rate of current deactivation, causing a crossover of tail current traces recorded before and after drug treatment.

The discovery of Kv1.5 blockers as a case study for the application of virtual screening approaches.

Different virtual screening techniques are available as alternatives to high throughput screening. These different techniques have been rarely used together on the same target. We had the opportunity to do so in order to discover novel blockers of the voltage-dependent potassium channel Kv1.5, a potential target for the treatment of atrial fibrillation. Our corporate database was searched, using a protein-based pharmacophore, derived from a homology model, as query. As a result, 244 molecules were screened in vitro, 19 of them (7.8%) were found to be active. Five of them, belonging to five different chemical classes, exhibited IC50 values under 10 microM. The performance of this structure-based virtual screening protocol has been compared with those of similarity and ligand-based pharmacophore searches. The analysis of the results supports the conventional wisdom of using as many virtual screening techniques as possible in order to maximize the chance of finding as many chemotypes as possible.

Peroxisome Proliferator-Activated Receptors target family landscape: A chemometrical approach to ligand selectivity based on protein binding site analysis

The Peroxisome Proliferator-Activated Receptors (PPARs) are nuclear receptors which over the last couple of years have been the focus of considerable research efforts aiming to identify compounds with well-defined selectivity profiles for the treatment of metabolic diseases. The ligand binding domains (LBD) of the three known PPAR subtypes exhibit between 60 and 70% sequence identity. To gain insight into the structural determinants of selectivity for the PPAR subtypes, a set of 13 crystal structures of PPAR LBD were classified, using the GRID/CPCA approach. As a result, nearly all of the crystal structures of each different PPAR subtype were found clustered in different regions of the CPCA score plots, and hydrophobic as well as steric interactions were identified as the major determinants of PPAR subtypes selectivity. Furthermore, interpretation of the GRID/CPCA model in structural terms led to the identification of LBD regions which could be targeted to improve the selectivity for a given PPAR subtype. Our findings are consistent with published structure–activity relationships for PPAR ligands as well as with site-directed mutagenesis results.

The quest for novel chemical matter and the contribution of computer-aided de novo design

Identifying novel chemical matter is the focus of many drug discovery efforts. Through these efforts, computer-based de novo design of drug-like molecules, which aim to build an entire molecule ‘from scratch’, has emerged as a valuable approach to identify novel chemical matter. In this paper, the author discusses the recent research efforts that aim to build, in silico, more chemically accessible molecules, sample more efficiently the chemical space and rank the proposed molecules. The author reviews de novo design algorithms developed between 2008 and 2010 and the issue of validation, and highlights some recent successful applications of de novo design to drug discovery projects. Although research has addressed the lack of synthetic accessibility of the molecules proposed by the first generation of de novo design tools, the lack of accurate scoring function remains a major limitation of structure-based de novo design. However, de novo design is a valuable approach to generate either chemical starting points or ideas.

New pyrazolo[1,5a]pyrimidines as orally active inhibitors of Lck

A novel series of pyrazolo[1,5a]pyrimidines was optimized to target lymphocyte-specific kinase (Lck). An efficient synthetic route was developed and SAR studies toward activity and selectivity are described, leading to Lck inhibitors with enzymatic, cellular and in vivo potency.

Structure-Based Chemogenomics: Analysis of Protein Family Landscapes

Analysis of the three-dimensional structures of protein ligand complexes provides valuable insight into both the common interaction patterns within a target family and the discriminating features between the different members of a target family. Knowledge of the common interaction patterns helps to design target family focused chemical libraries for hit finding, while the discriminating features can be exploited to optimize the selectivity profile of a lead compound against particular member of a target family. Herein, we review the computational tools which have been developed to analyze crystal structures of members of a target family.

Molecular modelling and conformational analysis of a GABAB antagonist

SummaryCrystallographic database studies and molecular dynamics simulations in different media have enabled us to sample the conformational space of a GABAB antagonist. As a result, we have defined a pharmacophoric pattern for GABAB antagonists. This study has led us to compare the conformational preferences deduced from database studies and molecular dynamics simulations. The influence of the medium on the conformations has also been investigated.

Evaluation of a semi-automated workflow for fragment growing.

Intelligent Automatic Design (IADE) is an expert system developed at Novartis to identify nonclassical bioisosteres. In addition to bioisostere searching, one could also use IADE to grow a fragment bound to a protein. Here we report an evaluation of IADE as a tool for fragment growing. Three examples from the literature served as test cases. In all three cases, IADE generated close analogues of the published compounds and reproduced their crystallographic binding modes. This exercise validated the use of the IADE system for fragment growing. We have also gained experience in optimizing the performance of IADE for this type of application.

Building Compound Archives for the Future

Will the targets of the future be covered by the compound libraries of today? This communication will cover a critical review of past strategies before turning to a new measure of diversity, protein pockets. A fingerprint descriptor for pockets will be described.