Literature DB >> 11865671

High-throughput and in silico techniques in drug metabolism and pharmacokinetics.

Han van de Waterbeemd1.   

Abstract

The high-throughput screening (HTS) of large proprietary compound collections and combinatorial libraries has increased the pressure on gathering pharmacokinetic and drug metabolism data as early as possible. Properties related to absorption, distribution, metabolism and excretion (ADME) can be estimated by a range of in vivo and in vitro methods, most of which are now available or under development in high(er)-throughput modus. In addition, progress has been made in in silico methods using various quantitaTive structure-activity relationship (QSAR) and molecular modeling techniques that employ a range of recently introduced descriptors tailored to e-ADME. These in silico approaches are promising filters for virtual libraries to aid synthesis as well as the selection of compounds for acquisition and screening in the early stages of drug discovery.

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Year:  2002        PMID: 11865671

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  7 in total

1.  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 2.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

3.  Modeling free energies of solvation in olive oil.

Authors:  Adam C Chamberlin; David G Levitt; Christopher J Cramer; Donald G Truhlar
Journal:  Mol Pharm       Date:  2008 Nov-Dec       Impact factor: 4.939

4.  Model based on GRID-derived descriptors for estimating CYP3A4 enzyme stability of potential drug candidates.

Authors:  Patrizia Crivori; Ismael Zamora; Bill Speed; Christian Orrenius; Italo Poggesi
Journal:  J Comput Aided Mol Des       Date:  2004-03       Impact factor: 3.686

5.  Prediction of pharmacokinetic parameters using a genetic algorithm combined with an artificial neural network for a series of alkaloid drugs.

Authors:  Majid Zandkarimi; Mohammad Shafiei; Farzin Hadizadeh; Mohammad Ali Darbandi; Kaveh Tabrizian
Journal:  Sci Pharm       Date:  2013-09-22

6.  Rapid screening of drug-protein binding using high-performance affinity chromatography with columns containing immobilized human serum albumin.

Authors:  Ying-Fei Li; Xiao-Qiong Zhang; Wei-Yu Hu; Zheng Li; Ping-Xia Liu; Zhen-Qing Zhang
Journal:  J Anal Methods Chem       Date:  2013-03-28       Impact factor: 2.193

Review 7.  Biophysical Techniques for Target Validation and Drug Discovery in Transcription-Targeted Therapy.

Authors:  Mehdi Moustaqil; Yann Gambin; Emma Sierecki
Journal:  Int J Mol Sci       Date:  2020-03-26       Impact factor: 5.923

  7 in total

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