How desirable are your IC50s? A way to enhance screening-based decision making
| Autor: | Richard Lyons, G. V. Paolini, Philip Laflin |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Measure (data warehouse)
Dose-Response Relationship Drug Computer science business.industry Rank (computer programming) Decision Making Experimental data Machine learning computer.software_genre Biochemistry Analytical Chemistry High-Throughput Screening Assays Inhibitory Concentration 50 Data quality Molecular Medicine Inhibitory concentration 50 Animals Humans Biological Assay Artificial intelligence business computer Reliability (statistics) Algorithms Biotechnology |
| Zdroj: | Journal of biomolecular screening. 15(10) |
| ISSN: | 1552-454X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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