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Cited by 304

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

High-Throughput Screening in Drug Metabolism and Pharmacokinetic Support of Drug Discovery

White, Ronald E.·2000·Annual Review of Pharmacology and Toxicology

Abstract

The application of rapid methods currently used for screening discovery drug candidates for metabolism and pharmacokinetic characteristics is discussed. General considerations are given for screening in this context, including the criteria for good screens, the use of counterscreens, the proper sequencing of screens, ambiguity in the interpretation of results, strategies for false positives and negatives, and the special difficulties encountered in drug metabolism and pharmacokinetic screening. Detailed descriptions of the present status of screening are provided for absorption potential, blood-brain barrier penetration, inhibition and induction of cytochrome P450, pharmacokinetics, biotransformation, and computer modeling. Although none of the systems currently employed for drug metabolism and pharmacokinetic screening can be considered truly high-throughput, several of them are rapid enough to be a practical part of the screening paradigm for modern, fast-moving discovery programs.

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Registry

Crossref · 10.1146/annurev.pharmtox.40.1.133

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Metadata

Authors
White, R. E.
Venue
Annual Review of Pharmacology and Toxicology
Published
2000-04
Volume
40
Issue
1
Pages
133-157
ISSN
  • 0362-1642 (ISSN-L)
  • 1545-4304
OpenAlex
W2116855266
Cited by
304
References
7
FWCI
2.57
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: High-Throughput Screening in Drug Metabolism and Pharmacokinetic Support of Drug Discovery. https://app.cochat.ai/papers/10.1146/annurev.pharmtox.40.1.133
The paper
White, R. E. (2000). High-Throughput Screening in Drug Metabolism and Pharmacokinetic Support of Drug Discovery. Annual Review of Pharmacology and Toxicology. https://doi.org/10.1146/annurev.pharmtox.40.1.133

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.