The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Predicting Human Drug Glucuronidation Parameters: Application of In Vitro and In Silico Modeling Approaches
Abstract
Cytochrome P450 (CYP) and UDP-glucuronosyltransferase (UGT), which both exist as enzyme “superfamilies,” are together responsible for the metabolism of most hepatically cleared drugs. There is currently intense interest in the development of techniques that permit identification of the CYP and UGT isoform(s) involved in the metabolism of a newly discovered drug, and hence prediction of factors likely to alter elimination in vivo. In addition, the quantitative scaling of kinetic parameters for a metabolic pathway assumes importance for identifying newly discovered drugs with undesirable in vivo pharmacokinetic properties. Although qualitative and quantitative in vitro–in vivo correlation based on data generated using human liver tissue or recombinant enzymes have been applied successfully to many drugs eliminated by CYP, these strategies have proved less definitive for glucuronidated compounds. Computational (in silico) modeling techniques that potentially provide a facile and economic alternative to the in vitro methods are now emerging. This review assesses the utility of in vitro and in silico approaches for the qualitative and quantitative prediction of drug glucuronidation parameters and the challenges facing the development of generalizable models.
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Cites
Handbook of Molecular Descriptors
Todeschini, R., & Consonni, V. (2000) · Methods and Principles in Medicinal Chemistry · doi:10.1002/9783527613106 · Cited by 4,107
Pang, K. S., & Rowland, M. (1977) · Journal of Pharmacokinetics and Biopharmaceutics · doi:10.1007/bf01059688 · Cited by 797
Prediction of in vivo drug metabolism in the human liver from in vitro metabolism data
Iwatsubo, T., Hirota, N., Ooie, T., Suzuki, H., Shimada, N., Chiba, K., Ishizaki, T., Green, C. E., Tyson, C. A., & Sugiyama, Y. (1997) · Pharmacology & Therapeutics · doi:10.1016/s0163-7258(96)00184-2 · Cited by 479
Pharmaceutical innovation by the seven UK‐owned pharmaceutical companies (1964‐1985).
Prentis, R., Lis, Y., & Walker, Sr. (1988) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.1988.tb03318.x · Cited by 471
Turgeon, D., Carrier, J.-S., Lévesque, E., Hum, D. W., & Bélanger, A. (2001) · Endocrinology · doi:10.1210/endo.142.2.7958 · Cited by 333
Cited by
Nomenclature update for the mammalian UDP glycosyltransferase (UGT) gene superfamily
Mackenzie, P. I., Walter Bock, K., Burchell, B., Guillemette, C., Ikushiro, S.-I., Iyanagi, T., Miners, J. O., Owens, I. S., & Nebert, D. W. (2005) · Pharmacogenetics and Genomics · doi:10.1097/01.fpc.0000173483.13689.56 · Cited by 821
Self-citationThe UDP-glucuronosyltransferases: Their role in drug metabolism and detoxification
Rowland, A., Miners, J. O., & Mackenzie, P. I. (2013) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2013.02.019 · Cited by 709
Self-citationUDP-glucuronosyltransferases and clinical drug-drug interactions
KIANG, T., ENSOM, M., & CHANG, T. (2005) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2004.10.013 · Cited by 552
Djoumbou-Feunang, Y., Fiamoncini, J., Gil-de-la-Fuente, A., Greiner, R., Manach, C., & Wishart, D. S. (2019) · Journal of Cheminformatics · doi:10.1186/s13321-018-0324-5 · Cited by 508
Zhang, D., Chando, T. J., Everett, D. W., Patten, C. J., Dehal, S. S., & Humphreys, W. G. (2005) · Drug Metabolism and Disposition · doi:10.1124/dmd.105.005447 · Cited by 286
Metadata
- Authors
- Miners, J. O., Smith, P. A., Sorich, M. J., McKinnon, R. A., & Mackenzie, P. I.
- Venue
- Annual Review of Pharmacology and Toxicology
- Publisher
- Annual Reviews
- Published
- 2004-02-10
- Volume
- 44
- Issue
- 1
- Pages
- 1-25
- ISSN
- 0362-1642 (ISSN-L)
- 1545-4304
- OpenAlex
- W2154179549
- Cited by
- 210
- References
- 5
- FWCI
- 1.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- Miners, J. O., Smith, P. A., Sorich, M. J., McKinnon, R. A., & Mackenzie, P. I. (2004). Predicting Human Drug Glucuronidation Parameters: Application of In Vitro and In Silico Modeling Approaches. Annual Review of Pharmacology and Toxicology. https://doi.org/10.1146/annurev.pharmtox.44.101802.121546
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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