The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cytochrome P450 and Chemical Toxicology
Abstract
The field of cytochrome P450 (P450) research has developed considerably over the past 20 years, and many important papers on the roles of P450s in chemical toxicology have appeared in Chemical Research in Toxicology. Today, our basic understanding of many of the human P450s is relatively well-established, in terms of the details of the individual genes, sequences, and basic catalytic mechanisms. Crystal structures of several of the major human P450s are now in hand. The animal P450s are still important in the context of metabolism and safety testing. Many well-defined examples exist for roles of P450s in decreasing the adverse effects of drugs through biotransformation, and an equally interesting field of investigation is the bioactivation of chemicals, including drugs. Unresolved problems include the characterization of the minor "orphan" P450s, ligand cooperativity and kinetic complexity of several P450s, the prediction of metabolism, the overall contribution of bioactivation to drug idiosyncratic problems, the extrapolation of animal test results to humans in drug development, and the contribution of genetic variation in human P450s to cancer incidence.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Can the pharmaceutical industry reduce attrition rates?
Kola, I., & Landis, J. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1470 · Cited by 4,167
Cited by
Zanger, U. M., & Schwab, M. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2012.12.007 · Cited by 4,169
To Scale or Not to Scale: The Principles of Dose Extrapolation
Sharma, V., & McNeill, J. H. (2009) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2009.00267.x · Cited by 544
Safety and efficacy of statin therapy
Adhyaru, B. B., & Jacobson, T. A. (2018) · Nature Reviews Cardiology · doi:10.1038/s41569-018-0098-5 · Cited by 424
Involvement of free radicals and oxidative stress in NAFLD/NASH
Sumida, Y., Niki, E., Naito, Y., & Yoshikawa, T. (2013) · Free Radical Research · doi:10.3109/10715762.2013.837577 · Cited by 280
Southward, K., Rutherfurd-Markwick, K. J., & Ali, A. (2018) · Sports Medicine · doi:10.1007/s40279-018-0939-8 · Cited by 254
Jennen, D. G. J., Magkoufopoulou, C., Ketelslegers, H. B., van Herwijnen, M. H. M., Kleinjans, J. C. S., & van Delft, J. H. M. (2010) · Toxicological Sciences · doi:10.1093/toxsci/kfq026 · Cited by 220
Three‐dimensional cell culture models for anticancer drug screening: Worth the effort?
Verjans, E., Doijen, J., Luyten, W., Landuyt, B., & Schoofs, L. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.26052 · Cited by 212
Lake, A. D., Novak, P., Fisher, C. D., Jackson, J. P., Hardwick, R. N., Billheimer, D. D., Klimecki, W. T., & Cherrington, N. J. (2011) · Drug Metabolism and Disposition · doi:10.1124/dmd.111.040592 · Cited by 167
Goings, J. J., White, A., Lee, J., Tautermann, C. S., Degroote, M., Gidney, C., Shiozaki, T., Babbush, R., & Rubin, N. C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2203533119 · Cited by 127
Fraczek, J., Bolleyn, J., Vanhaecke, T., Rogiers, V., & Vinken, M. (2013) · Archives of Toxicology · doi:10.1007/s00204-012-0983-3 · Cited by 119
Mechanisms of antidepressant resistance
El-Hage, W., Leman, S., Camus, V., & Belzung, C. (2013) · Frontiers in Pharmacology · doi:10.3389/fphar.2013.00146 · Cited by 111
Molecular aspects of circadian pharmacology and relevance for cancer chronotherapy
Ozturk, N., Ozturk, D., Kavakli, I. H., & Okyar, A. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18102168 · Cited by 106
Avior, Y., Levy, G., Zimerman, M., Kitsberg, D., Schwartz, R., Sadeh, R., Moussaieff, A., Cohen, M., Itskovitz‐Eldor, J., & Nahmias, Y. (2015) · Hepatology · doi:10.1002/hep.27803 · Cited by 88
Structure of the open conformation of a functional chimeric NADPH cytochrome P450 reductase
Aigrain, L., Pompon, D., Moréra, S., & Truan, G. (2009) · The EMBO Reports · doi:10.1038/embor.2009.82 · Cited by 84
Role of glutamate receptors and glial cells in the pathophysiology of treatment-resistant depression
Kim, Y.-K., & Na, K.-S. (2016) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2016.03.009 · Cited by 84
The Role of Genetics in Moderating the Inter-Individual Differences in the Ergogenicity of Caffeine
Southward, K., Rutherfurd-Markwick, K., Badenhorst, C., & Ali, A. (2018) · Nutrients · doi:10.3390/nu10101352 · Cited by 81
Zhao, S., Liang, T., Zhu, L., Yang, L., Liu, T., Fu, J., Wang, B., Zhan, J., & Liu, L. (2019) · Environmental Pollution · doi:10.1016/j.envpol.2019.06.020 · Cited by 56
Application of In Vitro Metabolism Activation in High-Throughput Screening
Ooka, M., Lynch, C., & Xia, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21218182 · Cited by 49
Psychophysiological stress: a significant parameter in drug pharmacokinetics
Konstandi, M. (2013) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.2013.816283 · Cited by 31
The ambiguous aspects of oxygen
Napolitano, G., Fasciolo, G., & Venditti, P. (2022) · Oxygen · doi:10.3390/oxygen2030027 · Cited by 30
Data mining for potential adverse drug–drug interactions
Hammann, F., & Drewe, J. (2014) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.2014.894507 · Cited by 19
Chiang, T.-S., Yang, K.-C., Chiou, L.-L., Huang, G.-T., & Lee, H.-S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094885 · Cited by 17
Negoro, R., Tasaka, M., Deguchi, S., Takayama, K., & Fujita, T. (2022) · Cells · doi:10.3390/cells11101677 · Cited by 16
Role of rat cytochromes P450 in the oxidation of 17α-ethinylestradiol
Bořek-Dohalská, L., Valášková, P., Černá, V., & Stiborová, M. (2014) · Environmental Toxicology and Pharmacology · doi:10.1016/j.etap.2014.10.004 · Cited by 4
Metadata
- Authors
- Guengerich, F. P.
- Venue
- Chemical Research in Toxicology
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-12-06
- Volume
- 21
- Issue
- 1
- Pages
- 70-83
- ISSN
- 0893-228X (ISSN-L)
- 1520-5010
- OpenAlex
- W2113524447
- Cited by
- 1,725
- References
- 1
- FWCI
- 38.21
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
