Toward Realistic Dosimetry In Vitro: Determining Effective Concentrations of Test Substances in Cell Culture and Their Prediction by an In Silico Mass Balance Model
Open accessAbstract
Nominal concentrations (C Nom ) in cell culture media are routinely used to define concentration-effect relationships in the in vitro toxicology.The actual concentration in the medium (C Medium ) can be affected by adsorption processes, evaporation, or degradation of chemicals.Therefore, we measured the total and free concentration of 12 chemicals, covering a wide range of lipophilicity (log K OW -0.07-6.84), in the culture medium (C Medium ) and cells (C Cell ) after incubation with Balb/c 3T3 cells for up to 48 h.Measured values were compared to predictions using an as yet unpublished in silico mass balance model that combined relevant equations from similar models published by others.The total C Medium for all chemicals except tamoxifen (TAM) were similar to the C Nom .This was attributed to the cellular uptake of TAM and accumulation into lysosomes.The free (i.e., unbound) C Medium for the low/no protein binding chemicals were similar to the C Nom , whereas values of all moderately to highly protein-bound chemicals were less than 30% of the C Nom .Of the 12 chemicals, the two most hydrophilic chemicals, acetaminophen (APAP) and caffeine (CAF), were the only ones for which the C Cell was the same as the C Nom .The C Cell for all other chemicals tended to increase over time and were all 2-to 274-fold higher than C Nom .Measurements of C Cytosol , using a digitonin method to release cytosol, compared well with C Cell (using a freezethaw method) for four chemicals (CAF, APAP, FLU, and KET), indicating that both methods could be used.The mass balance model predicted the total C Medium within 30% of the measured values for 11 chemicals.The free C Medium of all 12 chemicals were predicted within 3-fold of the measured values.There was a poorer prediction of C Cell values, with a median overprediction of 3-to 4-fold.In conclusion, while the number of chemicals in the study is limited, it demonstrates the large differences between C Nom and total and free C Medium and C Cell , which were also relatively well predicted by the mass balance model.
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In vitro assays often test nominal concentrations that may not reflect freely available, intracellular or in vivo-relevant concentrations.
“In vitro assays often test nominal concentrations that may not reflect freely available, intracellular or in vivo-relevant concentrations (Dimitrijevic et al., 2022; Kramer et al., 2012).”
From Cytotoxicity across OECD methods is not a single endpoint: context-dependent roles, variability and implications for decision-making (2026) · cites this paper as Dimitrijevic et al., 2022
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- Heringa M. B.; Schreurs R. H.; Busser F.; Van Der Saag P. T.; Van Der Burg B.; Hermens J. L. Toward more useful in vitro toxicity data with measured free concentrations. Environ. Sci. Technol. 2004, 38, 6263– 6270. 10.1021/es049285w. 15597880 · DOI
- Proença S.; Paini A.; Joossens E.; Benito J. V. S.; Berggren E.; Worth A.; Whelan M.; Prieto P. Insights into in vitro biokinetics using Virtual Cell Based Assay simulations. Altern. Anim. Exp. 2019, 36, 447– 461. 10.14573/altex.1812101. 30924507 · DOI
- Yoon M.; Blaauboer B. J.; Clewell H. J. Quantitative in vitro to in vivo extrapolation (QIVIVE): An essential element for in vitro-based risk assessment. Toxicology 2015, 332, 1– 3. 10.1016/j.tox.2015.02.002. 25680635 · DOI
- Basketter D.; Clewell H.; Kimber I.; Rossi A.; Blaauboer B.; Burrier R.; Hasiwa N. A roadmap for the development of alternative (Non-animal) methods for systemic toxicity testing-t4 report. Altern. Anim. Exp. 2012, 29, 3– 91. 10.14573/altex.2012.1.003. 22307314 · DOI
- Henneberger L.; Mühlenbrink M.; König M.; Schlichting R.; Fischer F. C.; Escher B. I. Quantification of Freely Dissolved Effect Concentrations in in vitro cell-based bioassays. Arch. Toxicol. 2019, 93, 2295– 2305. 10.1007/s00204-019-02498-3. 31230094 · DOI
- Wilk-Zasadna I.; Bernasconi C.; Pelkonen O.; Coecke S. Biotransformation in vitro: An essential consideration in the quantitative in vitro-to-in vivo extrapolation (QIVIVE) of toxicity data. Toxicology 2015, 332, 8– 19. 10.1016/j.tox.2014.10.006. 25456264 · DOI
- Baltazar M. T.; Cable S.; Carmichael P. L.; Cubberley R.; Cull T.; Delagrange M.; Dent M. P.; Hatherell S.; Houghton J.; Kukic P.; et al. A next-generation risk assessment case study for coumarin in cosmetic products. Toxicol. Sci. 2020, 176, 236– 252. 10.1093/toxsci/kfaa048. 32275751 PMC7357171 · DOI
- Blaauboer B. J. Biokinetic modeling and in vitro–in vivo extrapolations. J. Toxicol. Environ. Health, Part B 2010, 13, 242– 252. 10.1080/10937404.2010.483940. 20574900 · DOI
- Fabian E.; Gomes C.; Birk B.; Williford T.; Hernandez T. R.; Haase C.; Zbranek R.; van Ravenzwaay B.; Landsiedel R. In vitro-to-in vivo extrapolation (IVIVE) by PBTK modeling for animal-free risk assessment approaches of potential endocrine-disrupting compounds. Arch. Toxicol. 2019, 93, 401– 416. 10.1007/s00204-018-2372-z. 30552464 · DOI
- Groothuis F. A.; Heringa M. B.; Nicol B.; Hermens J. L.; Blaauboer B. J.; Kramer N. I. Dose metric considerations in in vitro assays to improve quantitative in vitro–in vivo dose extrapolations. Toxicology 2015, 332, 30– 40. 10.1016/j.tox.2013.08.012. 23978460 · DOI
- Wambaugh J. F.; Hughes M. F.; Ring C. L.; MacMillan D. K.; Ford J.; Fennell T. R.; Black S. R.; Snyder R. W.; Sipes N. S.; Wetmore B. A.; et al. Evaluating in vitro-in vivo extrapolation of toxicokinetics. Toxicol. Sci. 2018, 163, 152– 169. 10.1093/toxsci/kfy020. 29385628 PMC5920326 · DOI
- Kramer N. I.; Krismartina M.; Rico-Rico A. N.; Blaauboer B. J.; Hermens J. L. Quantifying processes determining the free concentration of phenanthrene in basal cytotoxicity assays. Chem. Res. Toxicol. 2012, 25, 436– 445. 10.1021/tx200479k. 22242923 · DOI · Paper page
- Doskey C. M.; van ‘t Erve T. J.; Wagner B. A.; Buettner G. R. Moles of a substance per cell is a highly informative dosing metric in cell culture. PLoS One 2015, 10, e0132572 10.1371/journal.pone.0132572. 26172833 PMC4501792 · DOI
- Henneberger L.; Huchthausen J.; Wojtysiak N.; Escher B. I. Quantitative in vitro-to-in vivo extrapolation: nominal versus freely dissolved concentration. Chem. Res. Toxicol. 2021, 34, 1175– 1182. 10.1021/acs.chemrestox.1c00037. 33759508 · DOI
- Ning J.; Chen L.; Strikwold M.; Louisse J.; Wesseling S.; Rietjens I. M. C. M. Use of an in vitro–in silico testing strategy to predict inter-species and inter-ethnic human differences in liver toxicity of the pyrrolizidine alkaloids lasiocarpine and riddelliine. Arch. Toxicol. 2019, 93, 801– 818. 10.1007/s00204-019-02397-7. 30661089 · DOI
- Fischer F. C.; Cirpka O. A.; Goss K. U.; Henneberger L.; Escher B. I. Application of experimental polystyrene partition constants and diffusion coefficients to predict the sorption of neutral organic chemicals to multiwell plates in in vivo and in vitro bioassays. Environ. Sci. Technol. 2018, 52, 13511– 13522. 10.1021/acs.est.8b04246. 30298728 · DOI
- Stadnicka-Michalak J.; Tanneberger K.; Schirmer K.; Ashauer R. Measured and modeled toxicokinetics in cultured fish cells and application to in vitro-in vivo toxicity extrapolation. PLoS One 2014, 9, e92303 10.1371/journal.pone.0092303. 24647349 PMC3960223 · DOI
- Gülden M.; Mörchel S.; Tahan S.; Seibert H. Impact of protein binding on the availability and cytotoxic potency of organochlorine pesticides and chlorophenols in Vitro. Toxicology 2002, 175, 201– 213. 10.1016/S0300-483X(02)00085-9. 12049848 · DOI
- Heringa M. B.; Hermens J. L. M. Measurement of free concentrations using negligible depletion-solid phase microextraction (nd-SPME). TrAC, Trends Anal. Chem. 2003, 22, 575– 587. 10.1016/S0165-9936(03)01006-9. · DOI
- Tolonen A.; Pelkonen O. Analytical challenges for conducting rapid metabolism characterization for QIVIVE. Toxicology 2015, 332, 20– 29. 10.1016/j.tox.2013.08.010. 23994130 · DOI
- Kisitu J.; Hollert H.; Fisher C.; Leist M. Chemical concentrations in cell culture compartments (C5)—free concentrations. Altern. Anim. Exp. 2020, 37, 693– 708. 10.14573/altex.2008251. 33080039 · DOI
- Henneberger L.; Mühlenbrink M.; Heinrich D. J.; Teixeira A.; Nicol B.; Escher B. I. Experimental validation of mass balance models for in vitro cell-based bioassays. Environ. Sci. Technol. 2020, 54, 1120– 1127. 10.1021/acs.est.9b06144. 31852189 · DOI
- Fischer F. C.; Abele C.; Droge S. T.; Henneberger L.; König M.; Schlichting R.; Scholz S.; Escher B. I. Cellular uptake kinetics of neutral and charged chemicals in in vitro assays measured by fluorescence microscopy. Chem. Res. Toxicol. 2018, 31, 646– 657. 10.1021/acs.chemrestox.8b00019. 29939727 · DOI
- Broeders J. J.; Blaauboer B. J.; Hermens J. L. In vitro biokinetics of Chlorpromazine and the influence of different dose metrics on effect concentrations for cytotoxicity in Balb/c 3T3, Caco-2 and HepaRG cell cultures. Toxicol. In Vitro 2013, 27, 1057– 1064. 10.1016/j.tiv.2013.01.010. 23376437 · DOI
- Huchthausen J.; Mühlenbrink M.; König M.; Escher B. I.; Henneberger L. Experimental exposure assessment of ionizable organic chemicals in in vitro cell-based bioassays. Chem. Res. Toxicol. 2020, 33, 1845– 1854. 10.1021/acs.chemrestox.0c00067. 32368900 · DOI
- Birch H.; Kramer N. I.; Mayer P. Time-resolved freely dissolved concentrations of semivolatile and hydrophobic test chemicals in in vitro assays—measuring high losses and crossover by headspace solid-phase microextraction. Chem. Res. Toxicol. 2019, 32, 1780– 1790. 10.1021/acs.chemrestox.9b00133. 31426631 · DOI
- Fischer F. C.; Abele C.; Henneberger L.; Klüver N.; König M.; Mühlenbrink M.; Schlichting R.; Escher B. I. Cellular Metabolism in High-Throughput In Vitro Reporter Gene Assays and Implications for the Quantitative In Vitro–In Vivo Extrapolation. Chem. Res. Toxicol. 2020, 33, 1770– 1779. 10.1021/acs.chemrestox.0c00037. 32227843 · DOI
- Bläser J.; Triebel S.; Reinke H.; Tschesche H. Formation of a covalent Hg-Cys-bond during mercurial activation of PMNL procollagenase gives evidence of a cysteine-switch mechanism. FEBS Lett. 1992, 313, 59– 61. 10.1016/0014-5793(92)81184-n. 1330697 · DOI
- Schildknecht S.; Pape R.; Meiser J.; et al. Preferential extracellular generation of the active parkinsonian toxin MPP+ by transporter-independent export of the intermediate MPDP+. Antioxid. Redox Signaling 2015, 23, 1001– 1016. 10.1089/ars.2015.6297. PMC4649766 26413876 · DOI
- Zimmer B.; Kuegler P. B.; Baudis B.; Genewsky A.; Tanavde V.; Koh W.; Tan B.; Waldmann T.; Kadereit S.; Leist M. Coordinated waves of gene expression during neuronal differentiation of embryonic stem cells as basis for novel approaches to developmental neurotoxicity testing. Cell Death Differ. 2011, 18, 383– 395. 10.1038/cdd.2010.109. 20865013 PMC3131999 · DOI
- Gülden M.; Jess A.; Kammann J.; Maser E.; Seibert H. Cytotoxic potency of H2O2 in cell cultures: impact of cell concentration and exposure time. Free Radicals Biol. Med. 2010, 49, 1298– 1305. 10.1016/j.freeradbiomed.2010.07.015. 20673847 · DOI
- Kisitu J.; Hougaard Bennekou S.; Leist M. Chemical concentrations in cell culture compartments (C5): concentration definitions. Altern. Anim. Exp. 2019, 36, 154– 160. 10.14573/altex.1901031. 30633307 · DOI
- Fischer F. C.; Henneberger L.; König M.; Bittermann K.; Linden L.; Goss K.-U.; Escher B. I. Modeling exposure in the Tox21 in vitro bioassays. Chem. Res. Toxicol. 2017, 30, 1197– 1208. 10.1021/acs.chemrestox.7b00023. 28316234 · DOI
- Graepel R.; Lamon L.; Asturiol D.; Berggren E.; Joossens E.; Paini A.; Prieto P.; Whelan M.; Worth A. The virtual cell based assay: Current status and future perspectives. Toxicol. In Vitro 2017, 45, 258– 267. 10.1016/j.tiv.2017.01.009. 28108195 PMC5742635 · DOI
- Proença S.; Escher B. I.; Fischer F. C.; Fisher C.; Grégoire S.; Hewitt N. J.; Nicol B.; Paini A.; Kramer N. I. Effective exposure of chemicals in in vitro cell systems: A review of chemical distribution models. Toxicol. In Vitro 2021, 73, 105133 10.1016/j.tiv.2021.105133. 33662518 · DOI
- Armitage J. M.; Wania F.; Arnot J. A. Application of mass balance models and the chemical activity concept to facilitate the use of in vitro toxicity data for risk assessment. Environ. Sci. Technol. 2014, 48, 9770– 9779. 10.1021/es501955g. 25014875 · DOI
- Fisher C.; Siméon S.; Jamei M.; Gardner I.; Bois Y. VIVD: Virtual in vitro distribution model for the mechanistic prediction of intracellular concentrations of chemicals in in vitro toxicity assays. Toxicol. In Vitro 2019, 58, 42– 50. 10.1016/j.tiv.2018.12.017. 30599189 · DOI
- Mosmann T. Rapid colorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays. J. Immunol. Methods 1983, 65, 55– 63. 10.1016/0022-1759(83)90303-4. 6606682 · DOI · Paper page
- McManus J. M.; Bohn K.; Alyamani M.; Chung Y. M.; Klein E. A.; Sharifi N. Rapid and structure-specific cellular uptake of selected steroids. PLoS One 2019, 14, e0224081 10.1371/journal.pone.0224081. 31622417 PMC6797172 · DOI
- Walker J. M. The Protein Protocols Handbook; Springer Science & Business Media, 1996; Vol. 1996.
- Smith P. K.; Krohn R. I.; Hermanson G. T.; Mallia A. K.; Gartner F. H.; Provenzano M. D.; Fujimoto E. K.; Goeke N. M.; Olson B. J.; Klenk D. C. Measurement of protein using bicinchoninic acid. Anal. Biochem. 1985, 150, 76– 85. 10.1016/0003-2697(85)90442-7. 3843705 · DOI · Paper page
- Deusser H.; Groh I.; Bakuradze T.; Simson N.; Kaiser E.; Barth H.; Richling E. Are compounds membrane-associated or Present in the cytosol? A study using polyphenols in a colon carcinoma cell line model. Curr. Pharmacol. Rep. 2020, 6, 1– 6. 10.1007/s40495-020-00242-5. · DOI
- Kaiser E.; Pust S.; Kroll C.; Barth H. Cyclophilin A facilitates translocation of the Clostridium botulinum C2 toxin across membranes of acidified endosomes into the cytosol of mammalian cells. Cell. Microbiol. 2009, 11, 780– 795. 10.1111/j.1462-5822.2009.01291.x. 19159389 · DOI
- Zhang M.; van Ravenzwaay B.; Fabian E.; Rietjens I. M.; Louisse J. Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data. Arch. Toxicol. 2018, 92, 1075– 1088. 10.1007/s00204-017-2140-5. 29234833 PMC5866837 · DOI
- Fischer F. C.; Henneberger L.; Schlichting R.; Escher B. I. How to improve the dosing of chemicals in high-throughput in vitro mammalian cell assays. Chem. Res. Toxicol. 2019, 32, 1462– 1468. 10.1021/acs.chemrestox.9b00167. 31328914 · DOI
- a Escher B. I.; Ashauer R.; Dyer S.; Hermens J. L.; Lee J. H.; Leslie H. A.; Warne M. S.; et al. Crucial role of mechanisms and modes of toxic action for understanding tissue residue toxicity and internal effect concentrations of organic chemicals. Integr. Environ. Assess. Manage. 2011, 7, 28– 49. 10.1002/ieam.100. 21184568 b Hewitt N. J.; Hewitt P. Phase I and II enzyme characterization of two sources of HepG2 cell lines. Xenobiotica 2004, 34, 243– 256. 10.1080/00498250310001657568. 15204697 · DOI
- Bray N. L.; Pimentel H.; Melsted P.; Pachter L. Near-optimal probabilistic RNA-seq quantification. Nat. Biotechnol. 2016, 34, 525– 527. 10.1038/nbt.3519. 27043002 · DOI · Paper page
- Wagner G. P.; Kin K.; Lynch V. J. A model based criterion for gene expression calls using RNA-seq data. Theory Biosci. 2013, 132, 159– 164. 10.1007/s12064-013-0178-3. 23615947 · DOI
- Clothier R.; Gómez-Lechón M.; Kinsner-Ovaskainen A.; Kopp-Schneider A.; O’Connor J.; Prieto P.; Stanzel S. Comparative analysis of eight cytotoxicity assays evaluated within the ACuteTox Project. Toxicol. In Vitro 2013, 27, 1347– 1356. 10.1016/j.tiv.2012.08.015. 22951948 · DOI
- Mannerström M.; Toimela T.; Sarkanen J. R.; Heinonen T. Human BJ fibroblasts is an alternative to mouse BALB/c 3T3 cells in in vitro neutral red uptake assay. Basic Clin. Pharmacol. Toxicol. 2017, 121, 109– 115. 10.1111/bcpt.12790. 28374970 · DOI
- Wang K.; Shindoh H.; Inoue T.; Horii I. Advantages of in vitro cytotoxicity testing by using primary rat hepatocytes in comparison with established cell lines. J. Toxicol. Sci. 2002, 27, 229– 237. 10.2131/jts.27.229. 12238146 · DOI
- Gülden M.; Schreiner J.; Seibert H. In vitro toxicity testing with microplate cell cultures: Impact of cell binding. Toxicology 2015, 332, 41– 51. 10.1016/j.tox.2013.11.006. 24291469 · DOI
- Mateus A.; Matsson Pr.; Artursson P. Rapid measurement of intracellular unbound drug concentrations. Mol. Pharmaceutics 2013, 10, 2467– 2478. 10.1021/mp4000822. 23631740 · DOI
- Mateus A.; Treyer A.; Wegler C.; Karlgren M.; Matsson P.; Artursson P. Intracellular drug bioavailability: a new predictor of system dependent drug disposition. Sci. Rep. 2017, 7, 43047 10.1038/srep43047. 28225057 PMC5320532 · DOI
- Cheever M.; Master A.; Versteegen R. A method for differentiating fetal bovine serum from newborn calf serum. BioProcess. J. 2017, 16, 16 10.12665/J16OA.Cheever. · DOI
- Lenz B.; Brink A.; Mihatsch M. J.; Altmann B.; Niederhauser U.; Steinhuber B.; Wyttenbach N.; Fischer H. Multiorgan Crystal Deposition of an Amphoteric Drug in Rats Due to Lysosomal Accumulation and Conversion to a Poorly Soluble Hydrochloride Salt. Toxicol. Sci. 2021, 180, 383– 394. 10.1093/toxsci/kfaa191. 33454789 PMC8041455 · DOI
- Leeman M.; Choi J.; Hansson S.; Storm M. U.; Nilsson L. Proteins and antibodies in serum, plasma, and whole blood-size characterization using asymmetrical flow field-flow fractionation (AF4). Anal. Bioanal. Chem. 2018, 410, 4867– 4873. 10.1007/s00216-018-1127-2. 29808297 PMC6061777 · DOI
- Lipinski C. A.; Lombardo F.; Dominy B. W.; Feeney P. J. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Delivery Rev. 2001, 46, 3– 26. 10.1016/S0169-409X(00)00129-0. 11259830 · DOI · Paper page
- Gülden M.; Mörchel S.; Seibert H. Factors influencing nominal effective concentrations of chemical compounds in vitro: cell concentration. Toxicol. In Vitro 2001, 15, 233– 243. 10.1016/S0887-2333(01)00008-X. 11377096 · DOI
- Nakatsugawa T.; Bradford W. L.; Usui K. Hepatic disposition of parathion: uptake by isolated hepatocytes and chromatographic translobular migration. Pestic. Biochem. Physiol. 1980, 14, 13– 25. 10.1016/0048-3575(80)90019-X. · DOI
- Proença S.; Escher B. I.; Fischer F. C.; Fisher C.; Grégoire S.; Hewitt N. J.; Nicol B.; Paini A.; Kramer N. I. Effective exposure of chemicals in in vitro cell systems: A review of chemical distribution models. Toxicol. In Vitro 2021, 73, 105133 10.1016/j.tiv.2021.105133. 33662518 · DOI
- Austin R. P.; Barton P.; Davis A. M.; Fessey R. E.; Wenlock M. C. The thermodynamics of the partitioning of ionizing molecules between aqueous buffers and phospholipid membranes. Pharm. Res. 2005, 22, 1649– 1657. 10.1007/s11095-005-6336-7. 16180122 · DOI
- Hallifax D.; Houston J. B. Saturable uptake of lipophilic amine drugs into isolated hepatocytes: mechanisms and consequences for quantitative clearance prediction. Drug Metab. Dispos. 2007, 35, 1325– 1332. 10.1124/dmd.107.015131. 17470525 · DOI
- Leung Y. Y.; Yao Hui L. L.; Kraus V. B. Colchicine—Update on mechanisms of action and therapeutic uses. Semin. Arthritis Rheum. 2015, 45, 341– 350. 10.1016/j.semarthrit.2015.06.013. 26228647 PMC4656054 · DOI
- Kratochwil N. A.; Huber W.; Müller F.; Kansy M.; Gerber P. R. Predicting plasma protein binding of drugs: a new approach. Biochem. Pharmacol. 2002, 64, 1355– 1374. 10.1016/S0006-2952(02)01074-2. 12392818 · DOI
- Zhang F.; Xue J.; Shao J.; Jia L. Compilation of 222 drugs’ plasma protein binding data and guidance for study designs. Drug Discovery Today 2012, 17, 475– 485. 10.1016/j.drudis.2011.12.018. 22210121 · DOI
- Endo S.; Goss K. U. Serum albumin binding of structurally diverse neutral organic compounds: data and models. Chem. Res. Toxicol. 2011, 24, 2293– 2301. 10.1021/tx200431b. 22070391 · DOI
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Thoma, T., Löhr, L., Demuth, P., Hambruch, N., Oesch, F., & Landsiedel, R. (2026) · NAM Journal · doi:10.1016/j.namjnl.2026.100126
Self-citation
- Authors
- Dimitrijevic, D., Fabian, E., Nicol, B., Funk-Weyer, D., & Landsiedel, R.
- Affiliations
- Freie Universität Berlin (DE)
- BASF (Germany) (DE)
- Unilever (United Kingdom) (GB)
- Corresponding author
- Landsiedel, Robert
- Venue
- Chemical Research in Toxicology
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-10-20
- Volume
- 35
- Issue
- 11
- Pages
- 1962-1973
- ISSN
- 0893-228X (ISSN-L)
- 1520-5010
- PMC
- PMC9682521
- OpenAlex
- W4306897087
- Cited by
- 34
- References
- 0
- Citations by year
- 2026: 15 · 2025: 9 · 2024: 5 · 2023: 5
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Chemical Research in Toxicology (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Refubium (Universitätsbibliothek der Freien Universität Berlin) (submittedVersion, cc-by-nc-nd)
- Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver
- Funders
- BASF
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Carcinogens and Genotoxicity Assessment
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Keywords
- in vitro dosimetry, effective concentration, cell culture, mass balance model, in silico prediction, chemical toxicity testing
- MeSH terms
- Acetaminophen, Animals, Protein Binding, Cell Culture Techniques, Mice, Hydrophobic and Hydrophilic Interactions
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