期刊
JOURNAL OF BIOMOLECULAR SCREENING
卷 12, 期 2, 页码 229-234出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/1087057106296498
关键词
high-throughput screening; statistics; Z factor; power; assay validation
资金
- NIAID NIH HHS [P30 AI42853] Funding Source: Medline
- NIEHS NIH HHS [5 P42 ES013660-02] Funding Source: Medline
High-throughput screening is an essential process in drug discovery. The ability to identify true active compounds depends on the high quality of assays and proper analysis of data. The Z factor, presented by Zhang et at. in 1999, provides an easy and useful summary of assay quality and has been a widely accepted standard. However, as data analysis has undergone much improvement recently, the assessment of assay quality has not evolved in parallel. In this article, the authors study the implications of Z factor values under different conditions and link the Z factor with the power of discovering true active compounds. They discuss the different interpretations of Z factor depending on error distributions and advocate direct analysis of power as assay quality assessment. They also propose that in estimating assay quality parameters, adjustments in data analysis should be taken into account. Studying the power of identifying true hits gives a more direct interpretation of assay quality and may provide guidance in assay optimization on some occasions.
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