The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Minimising the potential for metabolic activation in drug discovery
Abstract
Investigations into the role of bioactivation in the pathogenesis of xenobiotic-induced toxicity have been a major area of research since the link between reactive metabolites and carcinogenesis was first reported in the 1930s. Circumstantial evidence suggests that bioactivation of relatively inert functional groups to reactive metabolites may contribute towards certain drug-induced adverse reactions. Reactive metabolites, if not detoxified, can covalently modify essential cellular targets. The identity of the susceptible biomacromolecule(s), and the physiological consequence of its covalent modification, will dictate the resulting toxicological response (e.g., covalent modification of DNA by reactive intermediates derived from procarcinogens that potentially leads to carcinogenesis). The formation of drug-protein adducts often carries a potential risk of clinical toxicities that may not be predicted from preclinical safety studies. Animal models used to reliably predict idiosyncratic drug toxicity are unavailable at present. Furthermore, considering that the frequency of occurrence of idiosyncratic adverse drug reactions (IADRs) is fairly rare (1 in 1000 to 1 in 10,000), it is impossible to detect such phenomena in early clinical trials. Thus, the occurrence of IADRs during late clinical trials or after a drug has been released can lead to an unanticipated restriction in its use and even in its withdrawal. Major themes explored in this review include a comprehensive cataloguing of bioactivation pathways of functional groups commonly utilised in drug design efforts with appropriate strategies towards detection of corresponding reactive intermediates. Several instances wherein replacement of putative structural alerts in drugs associated with IADRs with a latent functionality eliminates the underlying liability are also presented. Examples of where bioactivation phenomenon in drug candidates can be successfully abrogated via iterative chemical interventions are also discussed. Finally, appropriate strategies that aid in potentially mitigating the risk of IADRs are explored, especially in circumstances in which the structural alert is also responsible for the primary pharmacology of the drug candidate and cannot be replaced.
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Cites
Concordance of the toxicity of pharmaceuticals in humans and in animals
Olson, H., Betton, G., Robinson, D., Thomas, K., Monro, A., Kolaja, G., Lilly, P., Sanders, J., Sipes, G., Bracken, W., et al. (2000) · Regulatory Toxicology and Pharmacology · doi:10.1006/rtph.2000.1399 · Cited by 2,050
Timing of new black box warnings and withdrawals for prescription medications
Lasser, K. E. (2002) · JAMA · doi:10.1001/jama.287.17.2215 · Cited by 1,005
Hepatotoxic Effects of Tacrine Administration in Patients With Alzheimer's Disease
Watkins, P. B. (1994) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1994.03510370044030 · Cited by 829
Inhibition of mitochondrial beta-oxidation as a mechanism of hepatotoxicity
Fromenty, B., & Pessayre, D. (1995) · Pharmacology & Therapeutics · doi:10.1016/0163-7258(95)00012-6 · Cited by 665
Agranulocytosis Associated with Antithyroid Drugs: Effects of Patient Age and Drug Dose
COOPER, D. S., GOLDMINZ, D., LEVIN, A. A., LADENSON, P. W., DANIELS, G. H., MOLITCH, M. E., & RIDGWAY, E. C. (1983) · Annals of Internal Medicine · doi:10.7326/0003-4819-98-1-26 · Cited by 245
In Vitro Metabolism of 2-Acetylbenzothiophene: Relevance to Zileuton Hepatotoxicity
Joshi, E. M., Heasley, B. H., Chordia, M. D., & Macdonald, T. L. (2004) · Chemical Research in Toxicology · doi:10.1021/tx0341409 · Cited by 85
Cited by
Physiochemical drug properties associated with in vivo toxicological outcomes
Hughes, J. D., Blagg, J., Price, D. A., Bailey, S., DeCrescenzo, G. A., Devraj, R. V., Ellsworth, E., Fobian, Y. M., Gibbs, M. E., Gilles, R. W., et al. (2008) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2008.07.071 · Cited by 946
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Polykovskiy, D., Zhebrak, A., Sanchez-Lengeling, B., Golovanov, S., Tatanov, O., Belyaev, S., Kurbanov, R., Artamonov, A., Aladinskiy, V., Veselov, M., et al. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.565644 · Cited by 849
Stepan, A. F., Walker, D. P., Bauman, J., Price, D. A., Baillie, T. A., Kalgutkar, A. S., & Aleo, M. D. (2011) · Chemical Research in Toxicology · doi:10.1021/tx200168d · Cited by 698
Self-citationCytochrome P450s and other enzymes in drug metabolism and toxicity
Guengerich, F. P. (2006) · The AAPS Journal · doi:10.1208/aapsj080112 · Cited by 624
Managing the challenge of chemically reactive metabolites in drug development
Park, B. K., Boobis, A., Clarke, S., Goldring, C. E. P., Jones, D., Kenna, J. G., Lambert, C., Laverty, H. G., Naisbitt, D. J., Nelson, S., et al. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3408 · Cited by 462
Metadata
- Authors
- Kalgutkar, A. S., & Soglia, J. R.
- Venue
- Expert Opinion on Drug Metabolism & Toxicology
- Publisher
- Informa UK Limited
- Published
- 2005-06
- Volume
- 1
- Issue
- 1
- Pages
- 91-142
- ISSN
- 1742-5255 (ISSN-L)
- 1744-7607
- OpenAlex
- W2159301944
- Cited by
- 229
- References
- 6
- FWCI
- 9.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kalgutkar, A. S., & Soglia, J. R. (2005). Minimising the potential for metabolic activation in drug discovery. Expert Opinion on Drug Metabolism & Toxicology. https://doi.org/10.1517/17425255.1.1.91
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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).
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