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AUCpreD specifications


Unique identifier OMICS_12717
Name AUCpreD
Interface Web user interface
Restrictions to use None
Input data Protein sequence(s)
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Sheng Wang

Publication for AUCpreD

AUCpreD citations


Population pharmacokinetics of treosulfan and development of a limited sampling strategy in children prior to hematopoietic stem cell transplantation

PMCID: 5748442
PMID: 28975382
DOI: 10.1007/s00228-017-2344-x

[…] rror (RMSE). These parameters were estimated using following equations (Eq. –):5PE=AUCpredi−AUCobsiAUCobsi×100 6MPE=1N∑iNAUCpredi−AUCobsiAUCobsi×100 7MAPE=1N∑iNAUCpredi−AUCobsiAUCobsi×100 8RMSE=1N∑iN(AUCpred(i)−AUCobs(i)AUCobs(i))2×100 For each LSS, distribution symmetry and range of relative errors was verified [].For the linear regression method, the best strategies were used to predict AUC0 → ∞ […]


Prospective validation of a novel dosing scheme for intravenous busulfan in adult patients undergoing hematopoietic stem cell transplantation

PMCID: 4860366
PMID: 27162478
DOI: 10.4196/kjpp.2016.20.3.245

[…] The AUC for the daily busulfan dose was predicted for each patient. This predicted AUC (AUCPRED) was calculated as follows: AUCPRED=Dosei/CLBayesian where Dosei was the individual daily amount of busulfan administered and CLBayesian was the maximum a posteriori Bayesian estimate of clear […]


Evaluation of limited sampling strategies for tacrolimus

PMCID: 2039832
PMID: 17712551
DOI: 10.1007/s00228-007-0354-9

[…] tion curve (AUC0–12) was calculated from the time versus tacrolimus concentration plot using the linear trapezoidal rule in MWPharm 3.50 (Mediware, Groningen, The Netherlands). The predicted AUC0–12 (AUCpred), calculated with the 24 different LSS, were validated by determining the predictive performance as described by Sheiner and Beal []. The percentage of the prediction error (PE) and the percen […]

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AUCpreD institution(s)
Toyota Technological Institute at Chicago, Chicago, IL, USA; Department of Human Genetics, University of Chicago, Chicago, IL, USA
AUCpreD funding source(s)
This study was supported by the National Institutes of Health (R01GM0897532) and National Science Foundation (DBI-0960390).

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