Bioanalytics – Chemical
End-to-End Hot Topic
The drug discovery process can be described as a series of integrated workflows, each applying the elementary scientific principle of “issue, experiment, analysis”. Fundamentally, pharmaceutical researchers try to better understand postulates through the scientific process whereby an “issue” encountered in a discovery program is studied in an “experiment” designed to assess that issue.
The experiment generates a set of samples whereby quantitative bioanalytical methods are applied to measure the change of a specific “analyte” of which the experiment was designed to monitor. Maximizing the quality of definitive data that can be generated in early experiments provides researchers with the comprehensive information needed to better select drug candidates based upon their Pharmacokinetic, Pharmacodynamic, and Toxicity profiles. Improving the design and execution of in vivo experiments, including maximizing sample collection, can increase the quality of data generated, decrease the amount of resources required (including animal numbers), and accelerate the overall process by improving efficiencies. This presentation will describe integrated workflows designed to maximize the efficiency, quality, and conduct of experiments in drug discovery.