Literature DB >> 11790621

The emerging importance of predictive ADME simulation in drug discovery.

Harold E Selick1, Alan P Beresford, Michael H Tarbit.   

Abstract

Absorption, distribution, metabolism and excretion (ADME) studies, are widely used in drug discovery to optimize the balance of properties necessary to convert leads into good medicines. However, throughput using traditional methods is now too low to support recent developments in combinatorial and library chemistry, which have generated many more molecules of interest. To the more enlightened practitioners of ADME science, this situation is generating both the problem and the solution: an opportunity is now forming, with the use of higher throughput ADME screens and computational models, to access this wide chemical diversity and to dissect out the rules that dictate a pharmacokinetic or metabolic profile. In the future we could see ADME properties designed-in from the first principles in drug design.

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Year:  2002        PMID: 11790621     DOI: 10.1016/s1359-6446(01)02100-6

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


  23 in total

1.  The composite solubility versus pH profile and its role in intestinal absorption prediction.

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4.  Prediction of drug-induced eosinophilia adverse effect by using SVM and naïve Bayesian approaches.

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Journal:  Med Biol Eng Comput       Date:  2015-06-05       Impact factor: 2.602

5.  ADMET evaluation in drug discovery. 12. Development of binary classification models for prediction of hERG potassium channel blockage.

Authors:  Sichao Wang; Youyong Li; Junmei Wang; Lei Chen; Liling Zhang; Huidong Yu; Tingjun Hou
Journal:  Mol Pharm       Date:  2012-03-16       Impact factor: 4.939

6.  In silico modeling of non-linear drug absorption for the P-gp substrate talinolol and of consequences for the resulting pharmacodynamic effect.

Authors:  Marija Tubic; Daniel Wagner; Hilde Spahn-Langguth; Michael B Bolger; Peter Langguth
Journal:  Pharm Res       Date:  2006-08       Impact factor: 4.200

Review 7.  Biomimetic tissues on a chip for drug discovery.

Authors:  Amir M Ghaemmaghami; Matthew J Hancock; Helen Harrington; Hirokazu Kaji; Ali Khademhosseini
Journal:  Drug Discov Today       Date:  2011-11-07       Impact factor: 7.851

Review 8.  Bridging the academia-to-industry gap: organ-on-a-chip platforms for safety and toxicology assessment.

Authors:  Terry Ching; Yi-Chin Toh; Michinao Hashimoto; Yu Shrike Zhang
Journal:  Trends Pharmacol Sci       Date:  2021-06-27       Impact factor: 17.638

9.  A novel chemometric method for the prediction of human oral bioavailability.

Authors:  Xue Xu; Wuxia Zhang; Chao Huang; Yan Li; Hua Yu; Yonghua Wang; Jinyou Duan; Yang Ling
Journal:  Int J Mol Sci       Date:  2012-06-07       Impact factor: 6.208

10.  The role of tumor tissue architecture in treatment penetration and efficacy: an integrative study.

Authors:  Katarzyna A Rejniak; Veronica Estrella; Tingan Chen; Allison S Cohen; Mark C Lloyd; David L Morse
Journal:  Front Oncol       Date:  2013-05-10       Impact factor: 6.244

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