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.

The quality of the compound library is a critical success factor in every high-throughput screening campaign. Screening solutions have to be prepared with a high level of process control to ensure the correct identity and initial concentration of each compound. However, even under optimized storage conditions, a certain level of degradation in solution cannot be avoided. Therefore, regular quality control and eventual removal of solutions from the screening deck is necessary. Because solution preparation, especially the weighing of compounds, is a tedious and often manual task, a regular resolubilization of compounds is difficult to achieve. By complete automation of the solution preparation, the authors have laid the foundation for a life cycle management of screening solutions. They demonstrate how a combination of quality and process control leads to a continuous improvement of the screening library. In presenting an automation concept, they show how a series of innovative process optimizations led to a high-performance system that achieves full industrialization of solution preparation.