|Publication type:||Article in scientific journal|
|Type of review:||Peer review (publication)|
|Title:||Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data|
|Published in:||SLAS Technology: Translating Life Sciences Innovation|
|Publisher / Ed. Institution:||Sage|
|Subject (DDC):||572: Biochemistry |
615: Pharmacology and therapeutics
|Abstract:||There is a growing need to precisely quantify the selectivity of large compound sets in high throughput screening, directing investment in lead optimization towards compounds with a high chance of success. High-content, high-density screening technologies such as multiparametric ultra-HTS provide a basis for highly precise screening with unprecedented scope for delineating process artifacts from reliable signals. However, the full potential of these technologies can only be realized with suitable experimental design and sophisticated data analysis tools. We present two advanced analysis workflows demonstrating how multiparametric readouts from a high throughput primary screen can improve decision quality in the hit identification process. The first involves discrete thresholding and the application of multiple selection criteria. The second uses machine learning algorithms and allows an unbiased consideration of all measured parameters.|
|Fulltext version:||Published version|
|License (according to publishing contract):||Licence according to publishing contract|
|Departement:||School of Engineering|
|Organisational Unit:||Institute of Data Analysis and Process Design (IDP)|
|Appears in collections:||Publikationen School of Engineering|
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Heyse, S., Brodte, A., Bruttger, O., Dürr, O., Freeman, T., Jung, T., Lindemann, M., Ottl, J., & Rinn, B. (2005). Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data. SLAS Technology: Translating Life Sciences Innovation, 10(4), 207–212. https://doi.org/10.1016/j.jala.2005.05.003
Heyse, S. et al. (2005) ‘Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data’, SLAS Technology: Translating Life Sciences Innovation, 10(4), pp. 207–212. Available at: https://doi.org/10.1016/j.jala.2005.05.003.
S. Heyse et al., “Quantifying bioactivity on a large scale : quality assurance and analysis of multiparametric ultra-HTS data,” SLAS Technology: Translating Life Sciences Innovation, vol. 10, no. 4, pp. 207–212, 2005, doi: 10.1016/j.jala.2005.05.003.
Heyse, Stephan, et al. “Quantifying Bioactivity on a Large Scale : Quality Assurance and Analysis of Multiparametric Ultra-HTS Data.” SLAS Technology: Translating Life Sciences Innovation, vol. 10, no. 4, 2005, pp. 207–12, https://doi.org/10.1016/j.jala.2005.05.003.
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