1995
DOI: 10.1177/019262339502300204
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The Role of Drug Metabolism in Drug Discovery: A Case Study in the Selection of an Oxytocin Receptor Antagonist for Development

Abstract: Drug discovery is a process involving multiple disciplines and interests. During the research phase of drug discovery, usually a large number of compounds are evaluated for biological activity and toxicological potential in animal species. Various types of problems with respect to pharmacodynamics, pharmacokinetics, and toxicity are commonly encountered at this stage. Drug metabolism, as a discipline participating in a drug discovery team, can play an important role in identifying factors underlying the proble… Show more

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Cited by 16 publications
(11 citation statements)
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“…From a resource and ethical perspective, minimizing the use of nonhuman primates is an important overall goal (Animal Procedures Committee, 2002). Additionally, there have been reports of specific compounds for which monkey pharmacokinetics were not representative of human disposition (Krause and Kühne, 1993;Tanaka et al, 1994;Chiu et al, 1995;Kuroda et al, 2000), and Chiou and Buehler (2002) have recently proposed on the basis of a ϳ30-compound data set that monkeys may systematically overpredict human clearance. However, from the present investigation using a 103-compound data set, it is clear that extrapolation methods using monkey pharmacokinetic data provide the most qualitatively and quantitatively accurate estimate of human clearance.…”
Section: Discussionmentioning
confidence: 99%
“…From a resource and ethical perspective, minimizing the use of nonhuman primates is an important overall goal (Animal Procedures Committee, 2002). Additionally, there have been reports of specific compounds for which monkey pharmacokinetics were not representative of human disposition (Krause and Kühne, 1993;Tanaka et al, 1994;Chiu et al, 1995;Kuroda et al, 2000), and Chiou and Buehler (2002) have recently proposed on the basis of a ϳ30-compound data set that monkeys may systematically overpredict human clearance. However, from the present investigation using a 103-compound data set, it is clear that extrapolation methods using monkey pharmacokinetic data provide the most qualitatively and quantitatively accurate estimate of human clearance.…”
Section: Discussionmentioning
confidence: 99%
“…The metabolite concentration was determined to be 984 nM according to the peak area and the nitrogen ratio by using Eqn. (1). From the MRM response, we could calculate the equimolar MRM response ratio for the metabolite over the BMS compound in urine was 0.18.…”
Section: Resultsmentioning
confidence: 99%
“…Quantitative or semi-quantitative information on metabolites with pharmacological and/or toxicological activities plays an important role at the drug discovery stage in identifying factors that may underlie potential problems. 1,2 One of the most frequently used methods in the pharmaceutical industry for quantitative determination of drugs and their metabolites in biological matrices is high-performance liquid chromatography/tandem mass spectrometry (HPLC/ MS/MS), [3][4][5][6] mostly because of its proven speed, selectivity, and sensitivity. However, one of the limitations of this technique is that response can be very sensitive to small variations in chemical structure.…”
mentioning
confidence: 99%
“…The issues involved in TK support of chronic (6)(7)(8)(9)(10)(11)(12) (45). Coupled with the scientific inadequacy of the rodent bioassay is the concern by some investigators that plasma drug/metabolite concentrations in these tests provide no rational basis for the assessment of human carcinogenic risk (31 ), while others view toxicokinetics as a tool in data interpretation (2,10 lot studies (9).…”
Section: Tk Support For Chronic Toxicity and Carcinogenicity Testsmentioning
confidence: 99%
“…This is expanded further in this issue (14). Retrospective (ancillary) (42) (TABLE IV) During Drug Drscavery and Selection In recent years, drug metabolism has emerged to play a major role in the discovery and selection of new drugs (12,24). The type of data generated will …”
Section: Introductionmentioning
confidence: 99%