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Connection

Andrea Gaedigk to Models, Biological

This is a "connection" page, showing publications Andrea Gaedigk has written about Models, Biological.

 
Connection Strength
 
 
 
0.635
 
  1. Linakis MW, Cook SF, Kumar SS, Liu X, Wilkins DG, Gaedigk R, Gaedigk A, Sherwin CMT, van den Anker JN. Polymorphic Expression of UGT1A9 is Associated with Variable Acetaminophen Glucuronidation in Neonates: A Population Pharmacokinetic and Pharmacogenetic Study. Clin Pharmacokinet. 2018 10; 57(10):1325-1336.
    View in: PubMed
    Score: 0.164
  2. Boberg M, Vrana M, Mehrotra A, Pearce RE, Gaedigk A, Bhatt DK, Leeder JS, Prasad B. Age-Dependent Absolute Abundance of Hepatic Carboxylesterases (CES1 and CES2) by LC-MS/MS Proteomics: Application to PBPK Modeling of Oseltamivir In Vivo Pharmacokinetics in Infants. Drug Metab Dispos. 2017 02; 45(2):216-223.
    View in: PubMed
    Score: 0.144
  3. Dinh JC, Pearce RE, Van Haandel L, Gaedigk A, Leeder JS. Characterization of Atomoxetine Biotransformation and Implications for Development of PBPK Models for Dose Individualization in Children. Drug Metab Dispos. 2016 07; 44(7):1070-9.
    View in: PubMed
    Score: 0.138
  4. Abduljalil K, Frank D, Gaedigk A, Klaassen T, Tomalik-Scharte D, Jetter A, Jaehde U, Kirchheiner J, Fuhr U. Assessment of activity levels for CYP2D6*1, CYP2D6*2, and CYP2D6*41 genes by population pharmacokinetics of dextromethorphan. Clin Pharmacol Ther. 2010 Nov; 88(5):643-51.
    View in: PubMed
    Score: 0.094
  5. Leeder JS, Dinh JC, Gaedigk A, Staggs VS, Prasad B, Pearce RE. Ontogeny of Scaling Factors for Pediatric Physiology-Based Pharmacokinetic Modeling and Simulation: Microsomal Protein Per Gram of Liver. Drug Metab Dispos. 2022 01; 50(1):24-32.
    View in: PubMed
    Score: 0.051
  6. Ladumor MK, Bhatt DK, Gaedigk A, Sharma S, Thakur A, Pearce RE, Leeder JS, Bolger MB, Singh S, Prasad B. Ontogeny of Hepatic Sulfotransferases and Prediction of Age-Dependent Fractional Contribution of Sulfation in Acetaminophen Metabolism. Drug Metab Dispos. 2019 08; 47(8):818-831.
    View in: PubMed
    Score: 0.043
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.