BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

115 related articles for article (PubMed ID: 4087135)

  • 21. Prediction of in vivo disposition from in vitro systems: clearance of phenytoin and tolbutamide using rat hepatic microsomal and hepatocyte data.
    Ashforth EI; Carlile DJ; Chenery R; Houston JB
    J Pharmacol Exp Ther; 1995 Aug; 274(2):761-6. PubMed ID: 7636740
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Simulation of differential drug pharmacokinetics under heat and exercise stress using a physiologically based pharmacokinetic modeling approach.
    Sidhu P; Peng HT; Cheung B; Edginton A
    Can J Physiol Pharmacol; 2011 May; 89(5):365-82. PubMed ID: 21627485
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A novel model for prediction of human drug clearance by allometric scaling.
    Tang H; Mayersohn M
    Drug Metab Dispos; 2005 Sep; 33(9):1297-303. PubMed ID: 15958605
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Modeled Rat Hepatic and Plasma Concentrations of Chemicals after Virtual Administrations Using Two Sets of in Silico Liver-to-Plasma Partition Coefficients.
    Adachi K; Utsumi M; Sato T; Nakano H; Shimizu M; Yamazaki H
    Biol Pharm Bull; 2023 Sep; 46(9):1316-1323. PubMed ID: 37380443
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Drug concentration in saliva.
    Mucklow JC; Bending MR; Kahn GC; Dollery CT
    Clin Pharmacol Ther; 1978 Nov; 24(5):563-70. PubMed ID: 29738
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Quantitative prediction of in vivo drug-drug interactions from in vitro data based on physiological pharmacokinetics: use of maximum unbound concentration of inhibitor at the inlet to the liver.
    Kanamitsu S; Ito K; Sugiyama Y
    Pharm Res; 2000 Mar; 17(3):336-43. PubMed ID: 10801223
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Predictability of plasma concentration-time curves in humans using single-species allometric scaling of chimeric mice with humanized liver.
    Sanoh S; Naritomi Y; Fujimoto M; Sato K; Kawamura A; Horiguchi A; Sugihara K; Kotake Y; Ohshita H; Tateno C; Horie T; Kitamura S; Ohta S
    Xenobiotica; 2015; 45(7):605-14. PubMed ID: 25733030
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Prediction of drug distribution in vivo on the basis of in vitro binding data.
    Schuhmann G; Fichtl B; Kurz H
    Biopharm Drug Dispos; 1987; 8(1):73-86. PubMed ID: 3580515
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Physiologically based pharmacokinetic model for cefazolin in rabbits and its preliminary extrapolation to man.
    Tsuji A; Nishide K; Minami H; Nakashima E; Terasaki T; Yamana T
    Drug Metab Dispos; 1985; 13(6):729-39. PubMed ID: 2867880
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Development of a hybrid physiologically based pharmacokinetic model with drug-specific scaling factors in rat to improve prediction of human pharmacokinetics.
    Sayama H; Komura H; Kogayu M; Iwaki M
    J Pharm Sci; 2013 Nov; 102(11):4193-204. PubMed ID: 24018828
    [TBL] [Abstract][Full Text] [Related]  

  • 31. PhRMA CPCDC initiative on predictive models of human pharmacokinetics, part 4: prediction of plasma concentration-time profiles in human from in vivo preclinical data by using the Wajima approach.
    Vuppugalla R; Marathe P; He H; Jones RD; Yates JW; Jones HM; Gibson CR; Chien JY; Ring BJ; Adkison KK; Ku MS; Fischer V; Dutta S; Sinha VK; Björnsson T; Lavé T; Poulin P
    J Pharm Sci; 2011 Oct; 100(10):4111-26. PubMed ID: 21480234
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Exploration of PBPK Model-Calculation of Drug Time Course in Tissue Using IV Bolus Drug Plasma Concentration-Time Profile and the Physiological Parameters of the Organ.
    Berezhkovskiy LM
    J Pharm Sci; 2016 Aug; 105(8):2453-8. PubMed ID: 27290628
    [TBL] [Abstract][Full Text] [Related]  

  • 33. PHRMA CPCDC initiative on predictive models of human pharmacokinetics, part 5: prediction of plasma concentration-time profiles in human by using the physiologically-based pharmacokinetic modeling approach.
    Poulin P; Jones RD; Jones HM; Gibson CR; Rowland M; Chien JY; Ring BJ; Adkison KK; Ku MS; He H; Vuppugalla R; Marathe P; Fischer V; Dutta S; Sinha VK; Björnsson T; Lavé T; Yates JW
    J Pharm Sci; 2011 Oct; 100(10):4127-57. PubMed ID: 21541937
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Prediction of the pharmacokinetics of cefodizime and cefotetan in humans from pharmacokinetic parameters in animals.
    Matsushita H; Suzuki H; Sugiyama Y; Sawada Y; Iga T; Hanano M; Kawaguchi Y
    J Pharmacobiodyn; 1990 Oct; 13(10):602-11. PubMed ID: 2095400
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Drug protein binding and the nephrotic syndrome.
    Gugler R; Azarnoff DL
    Clin Pharmacokinet; 1976; 1(1):25-35. PubMed ID: 797490
    [TBL] [Abstract][Full Text] [Related]  

  • 36. QSAR analysis of blood-brain distribution: the influence of plasma and brain tissue binding.
    Lanevskij K; Dapkunas J; Juska L; Japertas P; Didziapetris R
    J Pharm Sci; 2011 Jun; 100(6):2147-60. PubMed ID: 21271563
    [TBL] [Abstract][Full Text] [Related]  

  • 37. On the accuracy of estimation of basic pharmacokinetic parameters by the traditional noncompartmental equations and the prediction of the steady-state volume of distribution in obese patients based upon data derived from normal subjects.
    Berezhkovskiy LM
    J Pharm Sci; 2011 Jun; 100(6):2482-97. PubMed ID: 21254063
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Prediction of hepatic extraction ratio from in vitro measurement of intrinsic clearance.
    Rane A; Wilkinson GR; Shand DG
    J Pharmacol Exp Ther; 1977 Feb; 200(2):420-4. PubMed ID: 839445
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Prediction of Tissue to Plasma Concentration Ratios of Drugs in the Rat from Experimentally Estimated Volume of Distribution: Application of Allometry.
    Mahmood I
    Curr Drug Metab; 2018; 19(2):155-164. PubMed ID: 29189141
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prediction of total hepatic clearance by combining metabolism, transport, and permeability data in the in vitro-in vivo extrapolation methods: emphasis on an apparent fraction unbound in liver for drugs.
    Poulin P
    J Pharm Sci; 2013 Jul; 102(7):2085-95. PubMed ID: 23613473
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.