QPPRQuarterly Project Progress Report
QPPRQuantitative Property-Property Relationship
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References in periodicals archive ?
2016) was used to predict fu for 15 of 29 chemicals values and a published QPPR model (Kirman et al.
The performance of 8 PK model- adjustment combinations (detailed in Methods and below) was compared using root mean squared error (RMSE) (A) and mean residual values (MRV) (B) between [log.sub.10] values of EAD and median LELs from uterotrophic injection studies, calculated for three groups of chemicals: all 29 chemicals (asterisk), 13 chemicals with experimental values for [f.sub.u] and [CL.sub.int] (EE, triangle symbol), and 14 chemicals where QPPR and QSAR models were used to predict both [CL.sub.int] and [f.sub.u], respectively (QQ, circle symbol).
[ACC.sub.ER], pseudo median activity concentration at cutoff from estrogen receptor pathway model; [CL.sub.int], intrinsic clearance (L/h); [C.sub.ss], steady state plasma concentration; EAD, equivalent administered dose; EF, enrichment factor; [f.sub.u], fraction of chemical unbound to plasma protein; LEL, lowest effect level; QPPR, quantitative property-property relationship; QSAR, quantitative structure-activity relationship; PK, pharmacokinetic.