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Cited by 387

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Mechanisms of Drug Toxicity and Relevance to Pharmaceutical Development

Open access
Guengerich, F. Peter·2011·Drug Metabolism and Pharmacokinetics

Abstract

Toxicity has been estimated to be responsible for the attrition of approximately one-third of drug candidates and is a major contributor to the high cost of drug development, particularly when not recognized until late in clinical trials or post-marketing. The causes of drug toxicity can be classified in several ways and include mechanism-based (on-target) toxicity, immune hypersensitivity, off-target toxicity, and bioactivation/covalent modification. In addition, idiosyncratic responses are rare but can be one of the most problematic issues; several hypotheses for these have been advanced. Although covalent binding of drugs to proteins was described almost 40 years ago, the significance to toxicity has been difficult to establish; recent literature in this field is considered. The development of more useful biomarkers and short-term assays for rapid screening of drug toxicity early in the drug discovery/development process is a major goal, and some progress has been made using "omics" approaches.

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Metadata

Authors
Guengerich, F. P.
Venue
Drug Metabolism and Pharmacokinetics
Published
2011
Volume
26
Issue
1
Pages
3-14
ISSN
1347-4367 (ISSN-L)
OpenAlex
W2146402650
Cited by
387
References
3
FWCI
8.33
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mechanisms of Drug Toxicity and Relevance to Pharmaceutical Development. https://app.cochat.ai/papers/10.2133/dmpk.dmpk-10-rv-062
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Guengerich, F. P. (2011). Mechanisms of Drug Toxicity and Relevance to Pharmaceutical Development. Drug Metabolism and Pharmacokinetics. https://doi.org/10.2133/dmpk.dmpk-10-rv-062

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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.