Literature DB >> 9691080

High-throughput approaches for evaluating absorption, distribution, metabolism and excretion properties of lead compounds.

M H Tarbit1, J Berman.   

Abstract

Combinatorial chemistry methods and high-throughput screening for leads in industrial drug discovery have generated a potential bottleneck in the optimisation processes that seek to align potency with good pharmacokinetics in order to produce good medicines. This has resulted in the need for higher throughput methods of screening for absorption, distribution, metabolism and excretion properties. Significant progress has been made in throughput of in vivo pharmacokinetic studies, with the introduction of cassette, or multiple-in-one, protocols. In this technique, typically up to ten compounds are administered in one dose and analysed concomitantly on the mass spectrometer. High-throughput methods in in vitro absorption, distribution, metabolism and excretion are less well-developed as yet, and current approaches comprise automation of well-established methods for absorption using cell lines and metabolism using liver microsomes.

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Year:  1998        PMID: 9691080     DOI: 10.1016/s1367-5931(98)80017-3

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  7 in total

1.  A virtual high throughput screen for high affinity cytochrome P450cam substrates. Implications for in silico prediction of drug metabolism.

Authors:  G M Keseru
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

2.  Computational models to predict blood-brain barrier permeation and CNS activity.

Authors:  Govindan Subramanian; Douglas B Kitchen
Journal:  J Comput Aided Mol Des       Date:  2003-10       Impact factor: 3.686

3.  Automated QSPR through Competitive Workflow.

Authors:  J Cartmell; S Enoch; D Krstajic; D E Leahy
Journal:  J Comput Aided Mol Des       Date:  2006-01-17       Impact factor: 3.686

Review 4.  Neurobiological applications of small molecule screening.

Authors:  Andras Bauer; Brent Stockwell
Journal:  Chem Rev       Date:  2008-05-01       Impact factor: 60.622

5.  Computational approaches for modeling human intestinal absorption and permeability.

Authors:  Govindan Subramanian; Douglas B Kitchen
Journal:  J Mol Model       Date:  2006-04-01       Impact factor: 1.810

6.  Allometric scaling of pharmacokinetic parameters in drug discovery: can human CL, Vss and t1/2 be predicted from in-vivo rat data?

Authors:  Gary W Caldwell; John A Masucci; Zhengyin Yan; William Hageman
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2004 Apr-Jun       Impact factor: 2.441

7.  Distribution- and Metabolism-Based Drug Discovery: A Potassium-Competitive Acid Blocker as a Proof of Concept.

Authors:  Ming-Shu Wang; Yi Gong; Lin-Sheng Zhuo; Xing-Xing Shi; Yan-Guang Tian; Chang-Kang Huang; Wei Huang; Guang-Fu Yang
Journal:  Research (Wash D C)       Date:  2022-07-22
  7 in total

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