How desirable are your IC50s? A way to enhance screening-based decision making.

Dose-response curves, resulting in estimates of endpoints such as the IC(50), are fundamental to drug discovery. However, some estimates are more reliable than others. It is important to know just how reliable an estimate is if we want to base decisions on it or use it in further modeling. In this study, the authors propose a new measure of endpoint reliability, based on the concept of desirability first introduced by Harrington. The solution is not dependent on the application used to analyze the experimental data, provided a number of parameters to characterize the dose-response curve are available. The authors show how this score can be used as an objective and consistent measure to rank screening results, combine information from groups of experiments, and determine optimal levels of characterization of a compound's biological activity.

A three-stage experimental strategy to evaluate and validate an interplate IC50 format.

The serial dilution of compounds to establish potency against target enzymes or receptors can at times be a rate-limiting step in project progression. We have investigated the possibility of running 50% inhibitory concentration experiments in an interplate format, with dose ranges constructed across plates. The advantages associated with this format include a faster reformatting time for the compounds while also increasing the number of doses that can be potentially generated. These two factors, in particular, would lend themselves to a higher-throughput and more timely testing of compounds, while also maximizing chances to capture fully developed dose-response curves. The key objective from this work was to establish a strategy to assess the feasibility of an interplate format to ensure that the quality of data generated would be equivalent to historical formats used. A three-stage approach was adopted to assess and validate running an assay in an interplate format, compared to an intraplate format. Although the three-stage strategy was tested with two different assay formats, it would be necessary to investigate the feasibility for other assay types. The recommendation is that the three-stage experimental strategy defined here is used to assess feasibility of other assay formats used.

Analysing the output from primary screening.

From a perspective of process knowledge and enhancement, the analysis of the results of biological screening should not be limited to the outcome of specific projects, but additionally encompass a process centric view. Summarising outcomes across multiple projects is a powerful tool to gain a greater understanding of biological screening that will also enable optimisation of the strategy for specific projects or target classes. We have analysed a set of 73,651 compounds with reproducible (confirmed) results from 63 high-throughput screening (HTS) campaigns to reveal the underlying trends in the population of active compounds. We have focused on the overall physico-chemical profile of compound populations derived from biological screening since the in vivo activity of drug molecules is the result of physico-chemical and structural properties of the compound.

Evaluating real-life high-throughput screening data.

High-throughput screening (HTS) is the result of a concerted effort of chemistry, biology, information technology, and engineering. Many factors beyond the biology of the assay influence the quality and outcome of the screening process, yet data analysis and quality control are often focused on the analysis of a limited set of control wells and the calculated values derived from these wells. Taking into account the large number of variables and the amount of data generated, multiple views of the screening data are necessary to guarantee quality and validity of HTS results. This article does not aim to give an exhaustive outlook on HTS data analysis but tries to illustrate the shortfalls of a reductionist approach focused on control wells and give examples for further analysis.