Literature DB >> 16963792

Introduction to in vitro estimation of metabolic stability and drug interactions of new chemical entities in drug discovery and development.

Paweł Baranczewski1, Andrzej Stańczak, Kathrin Sundberg, Richard Svensson, Asa Wallin, Jenny Jansson, Per Garberg, Hans Postlind.   

Abstract

Determination of metabolic properties of a new chemical entity (NCE) is one of the most important steps during the drug discovery and development process. Nowadays, in vitro methods are used for early estimation and prediction of in vivo metabolism of NCEs. Using in vitro methods, it is possible to determine the metabolic stability of NCEs as well as the risk for drug-drug interactions (DDIs) related to inhibition and induction of drug metabolic enzymes. Metabolic stability is defined as the susceptibility of a chemical compound to biotransformation, and is expressed as in vitro half-life (t(1/2)) and intrinsic clearance (CL(int)). Based on these values, in vivo pharmacokinetic parameters such as bioavailability and in vivo half-life can be calculated. The drug metabolic enzymes possess broad substrate specificity and can metabolize multiple compounds. Therefore, the risk for metabolism-based DDIs is always a potential problem during the drug development process. For this reason, inhibition and induction in vitro screens are used early, before selection of a candidate drug (CD), to estimate the risk for clinically significant DDIs. At present, most pharmaceutical companies perform in vitro drug metabolism studies together with in silico prediction software and automated high-throughput screens (HTS). Available data suggest that in vitro methods are useful tools for identification and elimination of NCEs with unappreciated metabolic properties. However, the quantitative output of the methods has to be improved. The aim of this review is to highlight the practical and theoretical basis of the in vitro metabolic methods and the recent progress in the development of these assays.

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Year:  2006        PMID: 16963792

Source DB:  PubMed          Journal:  Pharmacol Rep        ISSN: 1734-1140            Impact factor:   3.024


  71 in total

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2.  Pentylindole/Pentylindazole Synthetic Cannabinoids and Their 5-Fluoro Analogs Produce Different Primary Metabolites: Metabolite Profiling for AB-PINACA and 5F-AB-PINACA.

Authors:  Ariane Wohlfarth; Marisol S Castaneto; Mingshe Zhu; Shaokun Pang; Karl B Scheidweiler; Robert Kronstrand; Marilyn A Huestis
Journal:  AAPS J       Date:  2015-02-28       Impact factor: 4.009

3.  Metabolite profiling of praziquantel and its analogs during the analysis of in vitro metabolic stability using information-dependent acquisition on a hybrid triple quadrupole linear ion trap mass spectrometer.

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Journal:  Drug Metab Pharmacokinet       Date:  2010-09-22       Impact factor: 3.614

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Journal:  J Mol Model       Date:  2011-09-08       Impact factor: 1.810

5.  Deuteration of the farnesyl terminal methyl groups of δ-tocotrienol and its effects on the metabolic stability and ability of inducing G-CSF production.

Authors:  Xingui Liu; Zhengya Gao; Qiang Fu; Lin Song; Peiyi Zhang; Xuan Zhang; Howard Hendrickson; Peter A Crooks; Daohong Zhou; Guangrong Zheng
Journal:  Bioorg Med Chem       Date:  2020-04-08       Impact factor: 3.641

6.  In vitro and in vivo activities of 2-aminopyrazines and 2-aminopyridines in experimental models of human African trypanosomiasis.

Authors:  Suman K Vodnala; Thomas Lundbäck; Birger Sjöberg; Richard Svensson; Martin E Rottenberg; Lars G J Hammarström
Journal:  Antimicrob Agents Chemother       Date:  2012-12-17       Impact factor: 5.191

7.  D-amino acid based protein arginine deiminase inhibitors: Synthesis, pharmacokinetics, and in cellulo efficacy.

Authors:  Kevin L Bicker; Lynne Anguish; Alexander A Chumanevich; Michael D Cameron; Xiangli Cui; Erin Witalison; Venkataraman Subramanian; Xuesen Zhang; Alena P Chumanevich; Lorne J Hofseth; Scott A Coonrod; Paul R Thompson
Journal:  ACS Med Chem Lett       Date:  2012-10-26       Impact factor: 4.345

8.  Structure-activity relationship study of EphB3 receptor tyrosine kinase inhibitors.

Authors:  Lixin Qiao; Sungwoon Choi; April Case; Thomas G Gainer; Kathleen Seyb; Marcie A Glicksman; Donald C Lo; Ross L Stein; Gregory D Cuny
Journal:  Bioorg Med Chem Lett       Date:  2009-09-09       Impact factor: 2.823

9.  Why mammals more susceptible to the hepatotoxic microcystins than fish: evidences from plasma and albumin protein binding through equilibrium dialysis.

Authors:  Wei Zhang; Gaodao Liang; Laiyan Wu; Xun Tuo; Wenjing Wang; Jun Chen; Ping Xie
Journal:  Ecotoxicology       Date:  2013-05-23       Impact factor: 2.823

10.  Structure-activity relationship study of bone morphogenetic protein (BMP) signaling inhibitors.

Authors:  Gregory D Cuny; Paul B Yu; Joydev K Laha; Xuechao Xing; Ji-Feng Liu; Carol S Lai; Donna Y Deng; Chetana Sachidanandan; Kenneth D Bloch; Randall T Peterson
Journal:  Bioorg Med Chem Lett       Date:  2008-06-27       Impact factor: 2.823

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