2002
DOI: 10.1021/jm0209331
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Structure−Activity Relationships of 1-Alkyl-5-(3,4-dichlorophenyl)- 5-{2-[(3-substituted)-1-azetidinyl]ethyl}-2-piperidones. 1. Selective Antagonists of the Neurokinin-2 Receptor

Abstract: The design, synthesis, and pharmacological evaluation of a novel class of neurokinin-2 (NK2) antagonists 1-alkyl-5-(3,4-dichlorophenyl)-5-[2-[(3-substituted)-1-azetidinyl]ethyl]-2-piperidones (5-44) are described. These compounds are formally derived from 2 by incorporating the metabolically vulnerable N-methylamide function into a more stable six-membered ring lactam 4, resulting in increased stability in human liver microsome (HLM) preparations relative to 2 (T1/2(HLM) of 30 min vs <10 min for 2). This serie… Show more

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Cited by 46 publications
(12 citation statements)
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References 25 publications
(33 reference statements)
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“…This is likely due to the biotransformation of BG-323 as the small molecule is modified or degraded by metabolic enzymes. Strategies to circumvent metabolic destabilization of drug-like compounds include blocking the active metabolic site(s) in the small molecule by replacing a highly reactive group with a less reactive group [27,28], adding a bulky group that increases steric hindrance proximal to the reactive group [29], incorporating the labile group into a ring structure [30] or removing the labile group from the small molecule altogether [31]. Such alterations can lead to a several fold increase in the stability of a small molecule and can significantly increase the half-life of the compound.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This is likely due to the biotransformation of BG-323 as the small molecule is modified or degraded by metabolic enzymes. Strategies to circumvent metabolic destabilization of drug-like compounds include blocking the active metabolic site(s) in the small molecule by replacing a highly reactive group with a less reactive group [27,28], adding a bulky group that increases steric hindrance proximal to the reactive group [29], incorporating the labile group into a ring structure [30] or removing the labile group from the small molecule altogether [31]. Such alterations can lead to a several fold increase in the stability of a small molecule and can significantly increase the half-life of the compound.…”
Section: Discussionmentioning
confidence: 99%
“…Other successful strategies for increasing metabolic stability rely on the specificity of metabolic enzymes for their substrates. Changing chirality [32], reducing lipophilicity [33] and changing the size of cyclized groups within the molecule [30] have also been shown to have a favorable effect on small molecule stability. The application of one or more of these strategies to BG-323 could stabilize the compound sufficiently to increase the half-life and potentially increase the ability of the BG-323 to inhibit viral replication in vivo .…”
Section: Discussionmentioning
confidence: 99%
“…The NK2 receptor antagonist, SR-48, 968 and other classes were identified by random library screen and modification of compounds [43]. In other cases, a different class of stable NK2 antagonists were obtained by incorporating the Nmethylamide into six-membered ring lactam 4 ring [44]. Since NK2 receptors are mostly distributed throughout the periphery, as opposed to the central nervous system, in the case of NK1 [34]; Selective nonpeptide antagonists of NK2 raised interest as potential therapies for urinary incontinence, bowel, and airway disorders [45].…”
Section: Overview Of Tachykinins and Their Re-ceptorsmentioning
confidence: 99%
“…These assays use microsomes, S9, and cytosol fractions from various species and have been extended to stability assessment in living hepatocytes (Obach et al, 1997;Niro et al, 2003;Ito and Houston, 2004). These assays are regularly used by pharmaceutical companies to provide valuable insights for drug design during discovery research to optimize pharmacokinetic profiles of chemical series (MacKenzie et al, 2002;Korfmacher, 2003;Nassar et al, 2004). In silico tools for the prediction of metabolic stability have been developed using various matrices, with number of compounds ranging from a handful few up to thousands (Bursi et al, 2001;Shen et al, 2003;Sakiyama et al, 2008).…”
Section: Introductionmentioning
confidence: 99%