Literature DB >> 21560129

Quantitative targeted absolute proteomics-based ADME research as a new path to drug discovery and development: methodology, advantages, strategy, and prospects.

Sumio Ohtsuki1, Yasuo Uchida, Yoshiyuki Kubo, Tetsuya Terasaki.   

Abstract

An understanding of the functional roles of proteins, for example, in drug absorption, distribution, metabolism, elimination, toxicity, and efficacy (ADMET/efficacy), is important for drug discovery and development. Equally, detailed information about protein expression is required. Recently, a new protein quantification method, called quantitative targeted absolute proteomics (QTAP), has been developed on the basis of separation and identification of protein digests by liquid chromatography-linked tandem mass spectrometry with multiple reaction monitoring. Target peptides for quantification are selected only from sequence information, so time-consuming procedures such as antibody preparation and protein purification are unnecessary. In this review, we introduce the technical features of QTAP and summarize its advantages with reference to recently reported results. These include the evaluation of species differences of blood-brain barrier protein levels among human, monkey, and mouse. The high selectivity of QTAP and its ability to quantify multiple proteins simultaneously make it possible to determine the absolute expression levels of many proteins in tissues and cells in both physiological and disease states. Knowledge of absolute expression amounts, together with data on intrinsic protein activity, allows us to reconstruct in vivo protein function, and this should be an efficient strategy to predict ADMET/efficacy of drug candidates in humans in various disease states.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21560129     DOI: 10.1002/jps.22612

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  30 in total

Review 1.  Mass spectrometry-based targeted proteomics as a tool to elucidate the expression and function of intestinal drug transporters.

Authors:  Stefan Oswald; Christian Gröer; Marek Drozdzik; Werner Siegmund
Journal:  AAPS J       Date:  2013-08-28       Impact factor: 4.009

Review 2.  Physiologically based pharmacokinetic modelling of drug penetration across the blood-brain barrier--towards a mechanistic IVIVE-based approach.

Authors:  Kathryn Ball; François Bouzom; Jean-Michel Scherrmann; Bernard Walther; Xavier Declèves
Journal:  AAPS J       Date:  2013-06-20       Impact factor: 4.009

Review 3.  Optimized approaches for quantification of drug transporters in tissues and cells by MRM proteomics.

Authors:  Bhagwat Prasad; Jashvant D Unadkat
Journal:  AAPS J       Date:  2014-04-22       Impact factor: 4.009

Review 4.  Drug transport across the blood-brain barrier.

Authors:  William M Pardridge
Journal:  J Cereb Blood Flow Metab       Date:  2012-08-29       Impact factor: 6.200

Review 5.  Quantitative targeted proteomics for membrane transporter proteins: method and application.

Authors:  Xi Qiu; Hui Zhang; Yurong Lai
Journal:  AAPS J       Date:  2014-05-15       Impact factor: 4.009

6.  Computer-aided identification of lead compounds as Staphylococcal epidermidis FtsZ inhibitors using molecular docking, virtual screening, DFT analysis, and molecular dynamic simulation.

Authors:  Swayansiddha Tripathy; Susanta Kumar Sahu; Mohammed Afzal Azam; Srikanth Jupudi
Journal:  J Mol Model       Date:  2019-11-26       Impact factor: 1.810

Review 7.  Challenges of using in vitro data for modeling P-glycoprotein efflux in the blood-brain barrier.

Authors:  Noora Sjöstedt; Hanna Kortejärvi; Heidi Kidron; Kati-Sisko Vellonen; Arto Urtti; Marjo Yliperttula
Journal:  Pharm Res       Date:  2014-01       Impact factor: 4.200

8.  Attenuation of phosphorylation by deoxycytidine kinase is key to acquired gemcitabine resistance in a pancreatic cancer cell line: targeted proteomic and metabolomic analyses in PK9 cells.

Authors:  Ken Ohmine; Kei Kawaguchi; Sumio Ohtsuki; Fuyuhiko Motoi; Shinichi Egawa; Michiaki Unno; Tetsuya Terasaki
Journal:  Pharm Res       Date:  2012-03-15       Impact factor: 4.200

9.  The Promises of Quantitative Proteomics in Precision Medicine.

Authors:  Bhagwat Prasad; Marc Vrana; Aanchal Mehrotra; Katherine Johnson; Deepak Kumar Bhatt
Journal:  J Pharm Sci       Date:  2016-12-08       Impact factor: 3.534

10.  Differences in transport mechanisms of trans-1-amino-3-[18F]fluorocyclobutanecarboxylic acid in inflammation, prostate cancer, and glioma cells: comparison with L-[methyl-11C]methionine and 2-deoxy-2-[18F]fluoro-D-glucose.

Authors:  Shuntaro Oka; Hiroyuki Okudaira; Masahiro Ono; David M Schuster; Mark M Goodman; Keiichi Kawai; Yoshifumi Shirakami
Journal:  Mol Imaging Biol       Date:  2014-06       Impact factor: 3.488

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