ECVAM and pharmaceuticals

In the pharmaceutical industry, toxicology testing is normally done by preclinical scientists during the Development phase. In the last decade, the implementation of high-throughput screens during the Discovery phase has resulted in an ever-increasing number of lead candidates to be selected for drug development. The low throughput of the conventional safety tests is a bottleneck in the drug-development process. The pharmaceutical industry needs new techniques, down-scaled tests and in vitro alternative test models to determine the absorption, distribution, metabolism, and excretion (ADME) and toxicology profiles of compounds in the late-Discovery phase and/or early in the Development phase. Medium-throughput ADME and toxicity tests will enhance the selection of safer new chemical entities for animals and/or humans. Consequently, this testing strategy will not only reduce the use of resources and the overall development time, but will also result in a substantial decrease in animal use.     

Phospho-specific recognition by 14-3-3 proteins and antibodies monitored by a high throughput label-free optical biosensor

Label-free detection of molecular interactions has considerable potential in facilitating assay development. When combined with high throughput capability, it may be applied to small molecule screens for drug candidates. Phosphorylation is a key posttranslational process that confers diverse regulation in biological systems involving specific protein-protein interactions recognizing the phosphorylated motifs. Using a resonant waveguide grating biosensor, the Epic mark System, we have developed a generic assay to quantitatively measure phospho-specific interactions between a trafficking signal-phosphorylated SWTY peptide and 14-3-3 proteins or anti-phosphopeptide antibodies. Compared with a solution-based fluorescence anisotropy assay, our results support that the high throughput resonant waveguide grating biosensor system has favorable technical profiles in detecting protein-protein interactions that recognize phosphorylated motifs. Hence it provides a new generic HTS platform for phospho-detection.     

Current strategies in the search for novel antiparasitic agents

The market for antiparasitic products comprises the largest segment for sales of livestock and companion-animal healthcare agents. Despite the availability of highly effective, broad-spectrum agents, there remains a need for safer, more convenient and more environmentally friendly products that will overcome the ever-present threat of resistance development. The very high cost of discovering and developing a new drug, especially for use in livestock, is reflected in the limited number of new classes of antiparasitic agent launched on the market. New strategies are being adopted to minimise the cost of discovering potential drug candidates by maximising the chance of identifying a useful target mechanism of action and by speeding the time to discover and optimise a lead structure. These rely heavily on new technologies in target identification, screen development and lead optimisation. Examples of these will be discussed and speculation made about the possible factors that could influence the future shape of antiparasitic control.     

Stability Challenges in Drug Discovery

Stability is one of the most important properties of drug candidates. Instable compounds can lead to false positive high‐throughput screening (HTS) hits, incorrect bioassay results, erroneous structure–activity relationships (SAR), low oral bioavailability, drug withdrawal, toxic reactions from degradation products, and difficult formulation development. Screening of stability has been implemented early in drug discovery to identify labile chemotypes and guide structural modification. The most commonly applied stability studies in drug discovery are stability–pH profile, stability in gastrointestinal fluids, stability in bioassay media, excipient compatibility, and prodrug screening. The strategy enhances the quality of drug development candidates and reduces the risks.     

High-throughput human metabolism and toxicity analysis

Poor drug candidate safety profiles are often identified late in the drug development process, manifesting themselves in the preclinical and clinical phases and significantly contributing to the high cost and low yield of drug discovery. As a result, new tools are needed to accelerate the assessment of drug candidate toxicity and human metabolism earlier in the drug development process, from primary drug candidate screening to lead optimization. Although high-throughput screens exist for much of the discovery phase of drug development, translating such screening techniques into platforms that can accurately mimic the human in vivo response and predict the impact of drug candidates on human toxicology has proven difficult. Nevertheless, some success has been achieved in recent years, which may ultimately yield widespread acceptance in the pharmaceutical industry.     

Pharmacogenomics - it''s not just pharmacogenetics

New technologies in both combinatorial chemistry and combinatorial biology promise to unlock new opportunities for drug discovery and lead optimisation. Using such genome-based technologies to measure the dynamic properties of pharmacological systems, pharmacogenomics can now provide an objective measure of a drug's biological efficacy, including its potential adverse effects.     

Applications of biomolecular interaction analysis in drug development

Biomolecular interaction analysis (BIA) is now utilised increasingly in drug development to kinetically characterise binding events of relevant components. BIA thereby covers a broad range of applications in early ADME (adsorption, distribution, metabolism and excretion), secondary screens, functional and metabolic assays and in assay development. This versatile technology allows measurements in real time without the need of labelling. A wide range of affinities can be characterised in a near-native state, with high reproducibility, high sensitivity and low sample consumption. However, limitations due to experimental design, and limitations in sample throughput, may occur. Future developments of BIA aim at parallelisation and automatisation and at coupling to platform technologies already established in the drug development process.     

Protein therapeutics: promises and challenges for the 21st century.

Recent advances in massively parallel experimental and computational technologies are leading to radically new approaches to the early phases of the drug production pipeline. The revolution in DNA microarray technologies and the imminent emergence of its analogue for proteins, along with machine learning algorithms, promise rapid acceleration in the identification of potential drug targets, and in high-throughput screens for subpopulation-specific toxicity. Similarly, advances in structural genomics in conjunction with in vitro and in silico evolutionary methods will rapidly accelerate the number of lead drug candidates and substantially augment their target specificity. Taken collectively, these advances will usher in an era of predictive medicine, which will move medical practice from reactive therapy after disease onset, to proactive prevention.     

Harnessing phage and ribosome display for antibody optimisation

Therapeutic antibodies have become a major driving force for the biopharmaceutical industry; therefore, the discovery and development of safe and efficacious antibody leads have become competitive processes. Phage and ribosome display are ideal tools for the generation of such molecules and have already delivered an approved drug as well as a multitude of clinical candidates. Because they are capable of searching billions of antibody variants in tailored combinatorial libraries, they are particularly applicable to potency optimisation. In conjunction with targeted, random or semi-rational mutagenesis strategies, they deliver large panels of potent antibody leads. This review introduces the two technologies, compares them with respect to their use in antibody optimisation and highlights how they can be exploited for the successful and efficient generation of putative drug candidates.     

High throughput metabolic stability screen for lead optimization in drug discovery

A high throughput approach for the determination of in vitro metabolic stability and metabolic profiles of drug candidates has been developed. This approach comprises the combination of a Biomek FX liquid handling system with 96-channel pipetting capability and a custom-designed 96-well format on-line incubator with efficient thermal conductivity. This combination facilitates automated reagent preparation, sample incubation, and sample purification for microsome stability studies. The overall process is both fast and accurate and meets the challenges of high throughput screening for drug discovery. A custom designed, user-friendly computer program has been incorporated for large-scale data processing and report generation. Several applications are discussed that implement this strategy for rapid selection of compounds in early drug discovery.     

Drug development from natural products: exploiting synergistic effects

Drug development in phytomedicine has been focused in the past on the discovery and analysis of new structures from natural products. The search aimed at the determination of the single "active principle" in plants, based on the assumption that a plant has one or a few ingredients which determine its therapeutic effects. But traditional systems of medicines like Ayurveda, traditional Chinese medicine or the European phytotherapy generally assume that a synergy of all ingredients of the plants will bring about the maximum of therapeutic efficacy. This approach has for long been impossible to investigate since adequate methods to standardize complex plant mixtures as well as to rationalize complex mode of actions were lacking. The introduction of high throughput technologies provides the opportunity to determine profiles of plants and to systematically explore the mode of action of combinatory drug regimes. The present review highlights the concept of synergy and gives examples of synergistic effects of plant constituents. It elaborates on how the high throughput technologies can be used in drug development from natural products with the aim of creating evidence-based plant medications in prevention and treatment of different diseases in the form of new single treatments or new combinatory drug regimes while exploiting synergy-effects.     

An automated immunoassay for early specificity profiling of antibodies

Antibody-based therapeutics are of great value for the treatment of human diseases. In addition to functional activity, affinity or physico-chemical properties, antibody specificity is considered to be one of the most crucial attributes for safety and efficacy. Consequently, appropriate studies are required before entering clinical trials.

High content protein arrays are widely applied to assess antibody specificity, but this commercial solution can only be applied to final therapeutic antibody candidates because such arrays are expensive and their throughput is limited. A flexible, high-throughput and economical assay that allows specificity testing of IgG or Fab molecules during early discovery is described here. The 384-well microtiter plate assay contains a comprehensive panel of 32 test proteins and uses electrochemiluminescence as readout.

The Protein Panel Profiling (3P) was used to analyze marketed therapeutic antibodies that all showed highly specific binding profiles. Subsequently, 3P was applied to antibody candidates from early discovery and the results compared well with those obtained with a commercially available high content protein chip. Our results suggest that 3P can be applied as an additional filter for lead selection, allowing the identification of favorable antibody candidates in early discovery and thereby increasing the speed and possibility of success in drug development.     

The automation of solution phase synthetic chemistry using XP Zymate™ laboratory robotic systems

The challenge of developing automated systems to undertake solution phase synthesis was embarked upon at Zeneca Pharmaceuticals in 1992. The objective of this project, using XP Zymate™ laboratory robots, has been realised with the establishment of a Research Department facility that has enabled research chemists to utilise the systems to generate compounds for test in relevant biological screens. The systems developed use the minimum of modification to the chemical method of reaction assembly, execution and isolation required of the products. This year will see the expansion of the Robotics facility from 3 to 7 systems. To date over 8000 novel individual compounds have been synthesised. Products have been purified where necessary, and over 30 different types of chemistry have been utilised. The work undertaken has covered the full scope of synthetic chemistry in the research process, incorporating library generation for high throughput screening, lead identification, and lead optimisation. To describe the work of the group an overview of the capabilities of the systems and the types of work undertaken, within the facility, is presented.     

Drugs, hERG and sudden death

Early recognition of potential QT/TdP liability is now an essential component of the drug discovery/drug development program. The hERG assay is an indispensable step and a high-quality assay must accompany any investigational new drug (IND) application. While it is the gold standard at present, the hERG assay is too labor-intensive and too low throughput to be used as a screen early in the discovery/development process. A variety of indirect high throughput screens have been used.     

Functional assays for screening GPCR targets

G-protein-coupled receptors (GPCRs) are valuable molecular targets for drug discovery. An important aspect of the early drug discovery process is the design and implementation of high-throughput GPCR functional assays that allow the cost-effective screening of large compound libraries to identify novel drug candidates. Several functional assay kits based on fluorescence and/or chemiluminescence detection are commercially available for convenient screen development, each having advantages and disadvantages. In addition, new GPCR biosensors and high-content imaging technologies have recently been developed that hold promise for the development of functional GPCR screens in living cells.     

Enthalpy screen of drug candidates

The enthalpic and entropic contributions to the binding affinity of drug candidates have been acknowledged to be important determinants of the quality of a drug molecule. These quantities, usually summarized in the thermodynamic signature, provide a rapid assessment of the forces that drive the binding of a ligand. Having access to the thermodynamic signature in the early stages of the drug discovery process will provide critical information towards the selection of the best drug candidates for development. In this paper, the Enthalpy Screen technique is presented. The enthalpy screen allows fast and accurate determination of the binding enthalpy for hundreds of ligands. As such, it appears to be ideally suited to aid in the ranking of the hundreds of hits that are usually identified after standard high throughput screening.     

Microbiological high throughput screening: an opportunity for the lead discovery process

Microbial HTS has been implemented at Rh?ne-Poulenc Rorer through the development of a dedicated robotic platform. This robot (Turbo) has been designed with the aim of fully integrating microbial HTS into the lead discovery processes. Innovative solutions have been found to reach high throughput as well as flexibility. This opens up new prospects for solid-phase microbial screening, taking advantage of the easy implementation and the very low costs of such screens. The different types of microbial screens done in our laboratory, as well as the throughputs and outputs obtained, are described. Some of the specific aspects of microbial HTS, as compared to biochemical and cell-based assays, are also discussed.     

Improving success rates for lead generation using affinity binding technologies

Affinity technologies have been applied at several stages of the drug discovery process, ranging from target identification and purification to the identification of preclinical candidates. The detection of ligand-macromolecule interactions in lead discovery is the best studied and most powerful of these techniques. Although affinity methods have been in widespread use for about a decade, only recently have many reports emerged on their utility. Primary affinity screens of large libraries of small molecules or fragments have begun to produce results for challenging targets. Furthermore, in secondary assays affinity methods are opening new avenues to tackle important medicinal chemistry tasks.     

2,4-Diamino-6-methylpyrimidines for the potential treatment of Chagas’ disease

Chagas’ disease, caused by the protozoan parasite Trypanosoma cruzi, affects 8–10 million people across the Latin American population and is responsible for around 12,500 deaths per annum. The current frontline treatments, benznidazole and nifurtimox, are associated with side effects and lack efficacy in the chronic stage of the disease, leading to an urgent need for new treatments. A high throughput screening campaign against the physiologically relevant intracellular form of the parasite identified a series of 2,4-diamino-6-methylpyrimidines. Demonstrating the series did not work through the anti-target TcCYP51, and was generally cytocidal, confirmed its suitability for further development. This study reports the optimisation of selectivity and metabolic stability of the series and identification of a suitable lead for further optimisation.     

Pharmacogenetics place in modern medical science and practice

Pharmacogenetic evidence-based treatment strategies will have major implications for all aspects of the product pipeline, including drug discovery, high throughput target screening protocols, lead optimization, and drug formulation to produce series of medicines for a particular disease which will meet the efficacy needs of the majority of patients. The initial proof of principle experiments involves whole genome screening for DNA variants and determination of specific patterns of variants associated with adverse events of marketed products [SNP Print(sm)]. Pharmacogenetics has the potential of changing the pipeline model of drug discovery, clinical development, and mass customization marketing.