HPLC biogram analysis: a powerful tool used for hit confirmation in early drug discovery.

High-performance liquid chromatography (HPLC) biogram methodology is a powerful pharmaceutical screening hit confirmation strategy that couples analytical HPLC data with functional bioassay data. It is used primarily for screening hit chemical validation and triaging in support of early phase discovery programs and enables further investigation of the source of bioactivity in screening hits. The process combines semi-preparative separation technologies, automated compound handling and distribution, high-throughput biological screening, and informatics tools. The final output is an HPLC retention time versus bioactivity graphical overlay report. In this manner, biograms allow the analyst to determine which component in the sample is responsible for the biological activity, enabling decision making toward chemotype selection and prioritization from a pool of potential candidates. Another powerful aspect of the biogram assay lies in its utility in investigating biological activity in atypical samples, such as degraded samples or mixtures, for detection of minor active impurities or in addressing lot-to-lot activity discrepancies for a given test compound. Biograms are employed to track, isolate, and identify the source of biological activity in such samples, often yielding important information for program decisions.

Extraction, identification, and functional characterization of a bioactive substance from automated compound-handling plastic tips.

Disposable plastic labware is ubiquitous in contemporary pharmaceutical research laboratories. Plastic labware is routinely used for chemical compound storage and during automated liquid-handling processes that support assay development, high-throughput screening, structure-activity determinations, and liability profiling. However, there is little information available in the literature on the contaminants released from plastic labware upon DMSO exposure and their resultant effects on specific biological assays. The authors report here the extraction, by simple DMSO washing, of a biologically active substance from one particular size of disposable plastic tips used in automated compound handling. The active contaminant was identified as erucamide ((Z)-docos-13-enamide), a long-chain mono-unsaturated fatty acid amide commonly used in plastics manufacturing, by gas chromatography/mass spectroscopy analysis of the DMSO-extracted material. Tip extracts prepared in DMSO, as well as a commercially obtained sample of erucamide, were active in a functional bioassay of a known G-protein-coupled fatty acid receptor. A sample of a different disposable tip product from the same vendor did not release detectable erucamide following solvent extraction, and DMSO extracts prepared from this product were inactive in the receptor functional assay. These results demonstrate that solvent-extractable contaminants from some plastic labware used in the contemporary pharmaceutical research and development (R&D) environment can be introduced into physical and biological assays during routine compound management liquid-handling processes. These contaminants may further possess biological activity and are therefore a potential source of assay-specific confounding artifacts.

An automated liquid chromatography-mass spectrometry process to determine metabolic stability half-life and intrinsic clearance of drug candidates by substrate depletion.

An automated process is described for the detailed assessment of the in vitro metabolic stability properties of drug candidates in support of pharmaceutical property profiling. Compounds are incubated with liver microsomes using a robotic liquid handler. Aliquots are taken at various time points, and the resulting samples are quantitatively analyzed by liquid chromatography-mass spectrometry utilizing ion trap mass spectrometers to determine the amount of compound remaining. From these data metabolism rates can be calculated. A high degree of automation is achieved through custom software, which is employed for instrument setup, data processing, and results reporting. The assay setup is highly configurable, allowing for any combination of up to six user-selected time points, variable substrate concentration, and microsomes or other biologically active media. The data, based on relative substrate depletion, affords an estimate of metabolic stability through the calculation of half-life (t(1/2)) and intrinsic clearance, which are used to differentiate and rank order drug leads. In general, t(1/2) is the time necessary for the metabolism, following first-order kinetics, of 50% of the initial compound. Intrinsic clearance is the proportionality constant between rate of metabolism of a compound and its concentration at the enzyme site. Described here is the setup of the assay, and data from assay test compounds are presented.

An automated high throughput liquid chromatography-mass spectrometry process to assess the metabolic stability of drug candidates.

An automated high throughput process, termed the MetFast assay, is described to assess in vitro the general microsomal cytochrome P450 beta-nicotinamide adenine dinucleotide phosphate-mediated first-pass metabolic stability of potential drug candidates as a utility for pharmaceutical profiling. Utilizing robotic protocols with a multiprobe liquid handler, compounds are incubated with liver microsomes from different species. Samples are then analyzed by in-line liquid chromatography (LC)-mass spectrometry (MS) to determine the amount of compound remaining after a certain time, which allows calculation of metabolism rates. To quantitatively assess large numbers of structurally diverse compounds by LC-MS, a strategy based on an iterative two-step process was devised. Initially compounds are qualitatively analyzed by LC-ultraviolet (UV)/MS (step 1) to determine purity (UV detection) and structural integrity (MS detection). This step ensures that only correct and verified compounds with sufficient purity are being assayed to obtain reproducible high data quality. In addition, all necessary information is gathered to automatically generate specific quantitative methods for the subsequent bioanalytical analysis of metabolic stability samples by LC-UV/MS (step 2). In-house-developed, highly flexible and sophisticated data management software, termed SmartReport, is utilized for automated qualitative and quantitative LC-MS analysis set-up, data processing, and results reporting. The integration of key aspects, inherent "universal" collision-induced dissociation settings of ion trap mass spectrometers for tandem mass spectrometric scan functions utilized for compound-specific and sensitive quantitative MS methods, generic fast-LC conditions, generic MS instrument settings, and the functionality of SmartReport software resulted in an analytical process that routinely provides reproducible high-quality metabolic stability data on structurally diverse compounds. Described here is the setup of the MetFast assay, and metabolic stability data from assay validation compounds are given.