Literature DB >> 17331890

Current and future trends in the application of HPLC-MS to metabolite-identification studies.

Jose M Castro-Perez1.   

Abstract

Metabolic determinations are an integral part of every drug-discovery and drug-development program. Recent emphasis has been to increase sample throughput while, at the same time, increase information content within assays. To this end, screening for potential drug-drug interactions, overall metabolic stability and metabolite profiles are used early in discovery to select compounds for development. The throttle on the metabolism discovery engine is limited by the time required for data processing and reporting of the information-rich assays used in discovery-stage metabolism studies. In this article I examine how to increase throughput screening in drug discovery using novel liquid chromatography and mass spectrometry as the preferred analytical tool, and potential solutions to maximize output.

Mesh:

Substances:

Year:  2007        PMID: 17331890     DOI: 10.1016/j.drudis.2007.01.007

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  6 in total

1.  Metabolism profile of quinocetone in swine by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry.

Authors:  Haixia Wu; Chunyan Yang; Zhanhui Wang; Jianzhong Shen; Suxia Zhang; Peisheng Feng; Linxia Li; Linli Cheng
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-09-20       Impact factor: 2.441

2.  Combination of docking, molecular dynamics and quantum mechanical calculations for metabolism prediction of 3,4-methylenedioxybenzoyl-2-thienylhydrazone.

Authors:  Rodolpho C Braga; Vinícius M Alves; Carlos A M Fraga; Eliezer J Barreiro; Valéria de Oliveira; Carolina H Andrade
Journal:  J Mol Model       Date:  2011-09-08       Impact factor: 1.810

3.  In vivo D2O labeling to quantify static and dynamic changes in cholesterol and cholesterol esters by high resolution LC/MS.

Authors:  Jose Castro-Perez; Stephen F Previs; David G McLaren; Vinit Shah; Kithsiri Herath; Gowri Bhat; Douglas G Johns; Sheng-Ping Wang; Lyndon Mitnaul; Kristian Jensen; Robert Vreeken; Thomas Hankemeier; Thomas P Roddy; Brian K Hubbard
Journal:  J Lipid Res       Date:  2010-09-30       Impact factor: 5.922

4.  A statistical procedure to selectively detect metabolite signals in LC-MS data based on using variable isotope ratios.

Authors:  Lung-Cheng Lin; Hsin-Yi Wu; Vincent Shin-Mu Tseng; Lien-Chin Chen; Yu-Chen Chang; Pao-Chi Liao
Journal:  J Am Soc Mass Spectrom       Date:  2009-10-12       Impact factor: 3.109

5.  Metabolic profiling of the Uncaria hook alkaloid geissoschizine methyl ether in rat and human liver microsomes using high-performance liquid chromatography with tandem mass spectrometry.

Authors:  Hirotaka Kushida; Takashi Matsumoto; Yasushi Igarashi; Hiroaki Nishimura; Junko Watanabe; Kazuya Maemura; Yoshio Kase
Journal:  Molecules       Date:  2015-01-27       Impact factor: 4.411

6.  Design and optimization of crocetin loaded PLGA nanoparticles against diabetic nephropathy via suppression of inflammatory biomarkers: a formulation approach to preclinical study.

Authors:  Xiaodong Yang
Journal:  Drug Deliv       Date:  2019-12       Impact factor: 6.419

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.