Advances in Chemical Probing Concepts for Chemical Biology Applications.

Chemical probes allow us to identify, validate and confirm novel targets for therapeutic applications, enable the development of drug candidates, and open the way to new therapeutic strategies, vaccines and diagnostic tools.

EFMC: Trends in Medicinal Chemistry and Chemical Biology.

Ground-breaking research in disease biology and continuous efforts in method development have uncovered a range of potential new drug targets. Increasingly, the drug discovery process is informed by technologies involving chemical probes as tools. Applications for chemical probes comprise target identification and assessment, as well as the qualification of small molecules as chemical starting points and drug candidates. Progress in probe chemistry has opened the way to novel assay formats and pharmaceutical compound classes. The European Federation of Medicinal Chemistry and Chemical Biology (EFMC) has launched the Chemical Biology Initiative to advance science in the field of medicinal chemistry and chemical biology, while representing all members of this extended scientific community. This review provides an overview of the many important developments in the field of chemical biology that have happened at the lively interface of academic and industrial research.

Quantitative interaction analysis permits molecular insights into functional NOX4 NADPH oxidase heterodimer assembly.

Protein-protein interactions critically regulate many biological systems, but quantifying functional assembly of multipass membrane complexes in their native context is still challenging. Here, we combined modeling-assisted protein modification and information from human disease variants with a minimal-size fusion tag, split-luciferase-based approach to probe assembly of the NADPH oxidase 4 (NOX4)-p22phox enzyme, an integral membrane complex with unresolved structure, which is required for electron transfer and generation of reactive oxygen species (ROS). Integrated analyses of heterodimerization, trafficking, and catalytic activity identified determinants for the NOX4-p22phox interaction, such as heme incorporation into NOX4 and hot spot residues in transmembrane domains 1 and 4 in p22phox Moreover, their effect on NOX4 maturation and ROS generation was analyzed. We propose that this reversible and quantitative protein-protein interaction technique with its small split-fragment approach will provide a protein engineering and discovery tool not only for NOX research, but also for other intricate membrane protein complexes, and may thereby facilitate new drug discovery strategies for managing NOX-associated diseases.

Stability of screening compounds in wet DMSO.

The impact of storage conditions on compound stability and compound solubility has been debated intensely over the past 5 years. At Novartis, the authors decided to opt for a storage concept that can be considered controversial because they are using a DMSO/water (90/10) mixture as standard solvent. To assess the effect of water in DMSO stocks on compound stability, the authors monitored the purity of a subset of 1404 compounds from ongoing medicinal chemistry projects over several months. The study demonstrated that 85% of the compounds were stable in wet DMSO over a 2-year period at 4 degrees C. This result validates the storage concept developed at Novartis as a pragmatic approach that takes advantage of the benefits of DMSO/water mixtures while mediating the disadvantages. In addition, the authors describe how purity data collected over the course of the chemical validation of high-throughput screening actives are used to improve the analytical quality of the Novartis screening deck.

Closing the gap between centralized and decentralized compound management approaches.

The demand for organized storage concepts to maintain, collect and distribute compounds has grown not only at pharmaceutical companies, but also at smaller research organizations and academic laboratories where there is the demand to store and retrieve substances systematically. However, budget limitations have prevented these smaller groups from buying costly storage systems offered by specialized commercial vendors. On the other hand, within pharmaceutical companies a need for inexpensive and flexible storage concepts has developed and complements the existing automated archives. For reasons of efficiency, most companies have built centralized facilities holding large collections of internal medicinal chemistry compounds to assist various, globally distributed research programs. This standardization and centralization though is not always ideal for a global organization. Therefore, site specific and localized requirements need to be addressed to ensure quick on site access to compounds without losing the global accessibility to them. In this article, we describe an approach towards a low cost and highly flexible store concept with manual compound stores of variable design addressing local needs, created to complement the existing automated stores. A key component of our implementation is the Compound Store Manager software which is capable of administering the different global stores. The developed backend system and centralized data management facilitates the operation and integration of the stores into an existing store environment.

Naphthalen-1-yl-(4-pentyloxynaphthalen-1-yl)methanone: a potent, orally bioavailable human CB1/CB2 dual agonist with antihyperalgesic properties and restricted central nervous system penetration.

Selective activation of peripheral cannabinoid CB1 receptors has the potential to become a valuable therapy for chronic pain conditions as long as central nervous system effects are attenuated. A new class of cannabinoid ligands was rationally designed from known aminoalkylindole agonists and showed good binding and functional activities at human CB1 and CB2 receptors. This has led to the discovery of a novel CB1/CB2 dual agonist, naphthalen-1-yl-(4-pentyloxynaphthalen-1-yl)methanone (13), which displays good oral bioavailability, potent antihyperalgesic activity in animal models, and limited brain penetration.

Compound Hub: efficiency gains through innovative sample management processes.

While significant investments are made across the industry and increasingly also in academia to enhance or build a compound file, the efficient sourcing of compounds from in-house medical chemistry is frequently seen as a challenge. This article introduces the Compound Hub strategy developed at the Novartis Compound Archive. Central Compound Hubs in Basel and Cambridge were combined with web-based ordering of compounds and assays, providing assay-ready, solubilized samples to labs anywhere in the global research organization. Relieving scientists from time-intensive sample preparation tasks, error rates could be reduced through electronic processing and tracking of compounds/assays and the capture of medicinal chemistry compounds for the compound library could be increased by 75%.

How Phenotypic Screening Influenced Drug Discovery: Lessons from Five Years of Practice.

Since 2011, phenotypic screening has been a trend in the pharmaceutical industry as well as in academia. This renaissance was triggered by analyses that suggested that phenotypic screening is a superior strategy to discover first-in-class drugs. Despite these promises and considerable investments, pharmaceutical research organizations have encountered considerable challenges with the approach. Few success stories have emerged in the past 5 years and companies are questioning their investment in this area. In this contribution, we outline what we have learned about success factors and challenges of phenotypic screening. We then describe how our efforts in phenotypic screening have influenced our approach to drug discovery in general. We predict that concepts from phenotypic screening will be incorporated into target-based approaches and will thus remain influential beyond the current trend.

An Alternative Thiol-Reactive Dye to Analyze Ligand Interactions with the Chemokine Receptor CXCR2 Using a New Thermal Shift Assay Format.

Integral membrane proteins (IMPs) play an important role in many cellular events and are involved in numerous pathological processes. Therefore, understanding the structure and function of IMPs is a crucial prerequisite to enable successful targeting of these proteins with low molecular weight (LMW) ligands early on in the discovery process. To optimize IMP purification/crystallization and to identify/characterize LMW ligand-target interactions, robust, reliable, high-throughput, and sensitive biophysical methods are needed. Here, we describe a differential scanning fluorimetry (DSF) screening method using the thiol-reactive BODIPY FL-cystine dye to monitor thermal unfolding of the G-protein-coupled receptor (GPCR), CXCR2. To validate this method, the seven-transmembrane protein CXCR2 was analyzed with a set of well-characterized antagonists. This study showed that the new DSF assay assessed reliably the stability of CXCR2 in a 384-well format. The analysis of 14 ligands with a potency range over 4 log units demonstrated the detection/characterization of LMW ligands binding to the membrane protein target. Furthermore, DSF results cross-validated with the label-free differential static light scattering (DSLS) thermal denaturation method. These results underline the potential of the BODIPY assay format as a general tool to investigate membrane proteins and their interaction partners.

High Throughput Random Mutagenesis and Single Molecule Real Time Sequencing of the Muscle Nicotinic Acetylcholine Receptor.

High throughput random mutagenesis is a powerful tool to identify which residues are important for the function of a protein, and gain insight into its structure-function relation. The human muscle nicotinic acetylcholine receptor was used to test whether this technique previously used for monomeric receptors can be applied to a pentameric ligand-gated ion channel. A mutant library for the α1 subunit of the channel was generated by error-prone PCR, and full length sequences of all 2816 mutants were retrieved using single molecule real time sequencing. Each α1 mutant was co-transfected with wildtype ß1, δ, and ε subunits, and the channel function characterized by an ion flux assay. To test whether the strategy could map the structure-function relation of this receptor, we attempted to identify mutations that conferred resistance to competitive antagonists. Mutant hits were defined as receptors that responded to the nicotinic agonist epibatidine, but were not inhibited by either α-bungarotoxin or tubocurarine. Eight α1 subunit mutant hits were identified, six of which contained mutations at position Y233 or V275 in the transmembrane domain. Three single point mutations (Y233N, Y233H, and V275M) were studied further, and found to enhance the potencies of five channel agonists tested. This suggests that the mutations made the channel resistant to the antagonists, not by impairing antagonist binding, but rather by producing a gain-of-function phenotype, e.g. increased agonist sensitivity. Our data show that random high throughput mutagenesis is applicable to multimeric proteins to discover novel functional mutants, and outlines the benefits of using single molecule real time sequencing with regards to quality control of the mutant library as well as downstream mutant data interpretation.

Key aspects of the Novartis compound collection enhancement project for the compilation of a comprehensive chemogenomics drug discovery screening collection.

The NIBR (Novartis Institutes for BioMedical Research) compound collection enrichment and enhancement project integrates corporate internal combinatorial compound synthesis and external compound acquisition activities in order to build up a comprehensive screening collection for a modern drug discovery organization. The main purpose of the screening collection is to supply the Novartis drug discovery pipeline with hit-to-lead compounds for today's and the future's portfolio of drug discovery programs, and to provide tool compounds for the chemogenomics investigation of novel biological pathways and circuits. As such, it integrates designed focused and diversity-based compound sets from the synthetic and natural paradigms able to cope with druggable and currently deemed undruggable targets and molecular interaction modes. Herein, we will summarize together with new trends published in the literature, scientific challenges faced and key approaches taken at NIBR to match the chemical and biological spaces.

High-Throughput Screening Using iPSC-Derived Neuronal Progenitors to Identify Compounds Counteracting Epigenetic Gene Silencing in Fragile X Syndrome.

Fragile X syndrome (FXS) is the most common form of inherited mental retardation, and it is caused in most of cases by epigenetic silencing of the Fmr1 gene. Today, no specific therapy exists for FXS, and current treatments are only directed to improve behavioral symptoms. Neuronal progenitors derived from FXS patient induced pluripotent stem cells (iPSCs) represent a unique model to study the disease and develop assays for large-scale drug discovery screens since they conserve the Fmr1 gene silenced within the disease context. We have established a high-content imaging assay to run a large-scale phenotypic screen aimed to identify compounds that reactivate the silenced Fmr1 gene. A set of 50,000 compounds was tested, including modulators of several epigenetic targets. We describe an integrated drug discovery model comprising iPSC generation, culture scale-up, and quality control and screening with a very sensitive high-content imaging assay assisted by single-cell image analysis and multiparametric data analysis based on machine learning algorithms. The screening identified several compounds that induced a weak expression of fragile X mental retardation protein (FMRP) and thus sets the basis for further large-scale screens to find candidate drugs or targets tackling the underlying mechanism of FXS with potential for therapeutic intervention.

Toward selective ERbeta agonists for central nervous system disorders: synthesis and characterization of aryl benzthiophenes.

In an effort to identify selective ligands for the estrogen receptor subtype ERbeta, a series of aryl benzthiophenes was synthesized. In a radioligand binding assay and reporter gene assays in HeLa and SH-SY5Y cells, compounds were characterized as ERbeta-selective agonists. By targeting ERbeta in the brain, these compounds could lead to drugs able to separate the beneficial effects of estrogens on mood, learning, and memory from side effects such as the stimulation of endometrial and breast cancer.

Assignment of Relative Configuration to Acyclic Compounds Based on (13)C NMR Shifts. A Density Functional and Molecular Mechanics Study.

1,3-Dimethylated hydrocarbon segments occur frequently as structural elements in polyketide natural products. The (13)C NMR chemical shifts of a series of model compounds containing such segments can be well reproduced by a combination of molecular mechanics and SOS-DFPT/IGLO calculations. (13)C NMR chemical shifts are calculated on MM3 geometries and are Boltzmann weighted according to the MM3 energies. On the basis of the resulting thermally averaged chemical shifts, all diastereomers of the model compounds can be unequivocally distinguished. Significant differences in chemical shifts occur at methyl groups and methylene groups that are adjacent to a single stereogenic center. The method is applied to predict the relative configuration of two stereocenters in the side chains of two natural products, sambutoxin and the bradykinin inhibitor L-755,897.

Theoretical and experimental relationships between percent inhibition and IC50 data observed in high-throughput screening.

The four-parameter logistic Hill equation models the theoretical relationship between inhibitor concentration and response and is used to derive IC(50) values as a measure of compound potency. This relationship is the basis for screening strategies that first measure percent inhibition at a single, uniform concentration and then determine IC(50) values for compounds above a threshold. In screening practice, however, a "good" correlation between percent inhibition values and IC(50) values is not always observed, and in the literature, there seems confusion about what correlation even to expect. We examined the relationship between percent inhibition data and IC(50) data in HDAC4 and ENPP2 high-throughput screening (HTS) data sets and compared our findings with a series of numerical simulations that allowed the investigation of the influence of parameters representing different types of uncertainties: variability in the screening concentration (related to solution library and compound characteristics, liquid handling), variations in Hill model parameters (related to interaction of compounds with target, type of assay), and influences of assay data quality parameters (related to assay and experimental design, liquid handling). In the different sensitivity analyses, we found that the typical variations of the actual compound concentrations in existing screening libraries generate the largest contributions to imperfect correlations. Excess variability in the ENPP2 assay above the values of the simulation model can be explained by compound aggregation artifacts.

HDL-like discs for assaying membrane proteins in drug discovery.

To broaden the use of the recombinant high-density lipoprotein (rHDL) approach to the characterization of lead compounds, we investigated the pharmacology of the human beta-2-adrenoceptor in nanolipid bilayers (rHDL) with a broad set of beta-adrenoceptor antagonists. To that end, we developed a homogeneous copper-chelate scintillation proximity binding assay (SPA) in order to compare receptor-ligand binding affinities before and after reconstitution into rHDLs. Our results clearly show that the beta-2-adrenoceptor reconstituted in rHDLs display the same pharmacology as that in cell membranes and that rHDLs can be used not only to measure affinities for a range of ligands but also to study binding kinetics.

Screening for mevalonate biosynthetic pathway inhibitors using sensitized bacterial strains.

A simple, optical density-based assay for inhibitors of the mevalonate-dependent pathway for isoprenoid biosynthesis was developed. The assay uses pathway-sensitized Staphylococcus aureus strains and is fully compatible with high-density screening in a 1536-well format. S. aureus strains were constructed in which genes required for mevalonate-dependent isopentenyl pyrophosphate (IPP) synthesis were regulated by an isopropyl-ß-D-thiogalactopyranoside (IPTG)-inducible promoter. Inhibitors of the target enzymes displayed greater antibacterial potency in media containing low concentrations of IPTG, and therefore less induction of mevalonate pathway genes, than in media with high IPTG conditions. This differential growth phenotype was exploited to bias the cell-based screening hits toward specific inhibitors of mevalonate-dependent IPP biosynthesis. Screens were run against strains engineered for regulation of the enzymes HMG-CoA synthase (MvaS) and mevalonate kinase (mvaK1), mevalonate diphosphate decarboxylase (mvaD), and phosphomevalonate kinase (mvaK2). The latter three enzymes are regulated as an operon. These assays resulted in the discovery of potent antibacterial hits that were progressed to an active hit-to-lead program. The example presented here demonstrates that a cell sensitization strategy can be successfully applied to a 1.3-million compound high-throughput screen in a high-density 1536-well format.

Impact of high-throughput screening in biomedical research.

High-throughput screening (HTS) has been postulated in several quarters to be a contributory factor to the decline in productivity in the pharmaceutical industry. Moreover, it has been blamed for stifling the creativity that drug discovery demands. In this article, we aim to dispel these myths and present the case for the use of HTS as part of a proven scientific tool kit, the wider use of which is essential for the discovery of new chemotypes.

Knowledge-based virtual screening: application to the MDM4/p53 protein-protein interaction.

Chemogenomics knowledge-based drug discovery approaches aim to extract the knowledge gained from one target and to apply it for the discovery of ligands and hopefully drugs of a new target which is related to the parent target by homology or conserved molecular recognition. Herein, we demonstrate the potential of knowledge-based virtual screening by applying it to the MDM4-p53 protein-protein interaction where the MDM2-p53 protein-protein interaction constitutes the parent reference system; both systems are potentially relevant to cancer therapy. We show that a combination of virtual screening methods, including homology based similarity searching, QSAR (Quantitative Structure-Activity Relationship) methods, HTD (High Throughput Docking), and UNITY pharmacophore searching provide a successful approach to the discovery of inhibitors. The virtual screening hit list is of the magnitude of 50,000 compounds picked from the corporate compound library of approximately 1.2 million compounds. Emphasis is placed on the facts that such campaigns are only feasible because of the now existing HTCP (High throughput Cherry-Picking) automation systems in combination with robust MTS (Medium Throughput Screening) fluorescence-based assays. Given that the MDM2-p53 system constitutes the reference system, it is not surprising that significantly more and stronger hits are found for this interaction compared to the MDM4-p53 system. Novel, selective and dual hits are discovered for both systems. A hit rate analysis will be provided compared to the full HTS (High-throughput Screening).

Hypothesis-driven screening.

Phenotypic chemogenomics studies require screening strategies that account for the complex nature of the experimental system. Unknown mechanism of action and high frequency of false positives and false negatives necessitate iterative experiments based on hypotheses formed on the basis of results from the previous step. Process-driven High Throughput Screening (HTS), aiming to "industrialize" lead finding and developed to maximize throughput, is rarely affording sufficient flexibility to design hypothesis-based experiments.In this contribution, we describe a High Throughput Cherry Picking (HTCP) system based on acoustic dispensing technology that was developed to support a new screening paradigm. We demonstrate the power of hypothesis-based screening in three chemogenomics studies that were recently conducted.