Literature DB >> 23294153

Evolution of ADME science: where else can modeling and simulation contribute?

Dennis A Smith1.   

Abstract

The commentary describes progress in modeling and simulation in ADME science and focuses on lipoidal permeability as a central driver of drug molecule disposition. The tension between screening and in silico is outlined with practical suggestions on how to improve multiparameter models. The limitations on modeling drug metabolism and its enzymes are highlighted together with key features in molecules that lead to drug transport. Reservations about the quality of data and the imprecise classification of drug molecules are explained. Encouragement to move modeling and simulation to the forefront of project start-up is provided after examining the complexity of macromolecule-small molecule conjugate prodrugs.

Mesh:

Year:  2013        PMID: 23294153     DOI: 10.1021/mp3005319

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  6 in total

1.  Extended solvent-contact model approach to blind SAMPL5 prediction challenge for the distribution coefficients of drug-like molecules.

Authors:  Kee-Choo Chung; Hwangseo Park
Journal:  J Comput Aided Mol Des       Date:  2016-07-23       Impact factor: 3.686

2.  Impact of a five-dimensional framework on R&D productivity at AstraZeneca.

Authors:  Paul Morgan; Dean G Brown; Simon Lennard; Mark J Anderton; J Carl Barrett; Ulf Eriksson; Mark Fidock; Bengt Hamrén; Anthony Johnson; Ruth E March; James Matcham; Jerome Mettetal; David J Nicholls; Stefan Platz; Steve Rees; Michael A Snowden; Menelas N Pangalos
Journal:  Nat Rev Drug Discov       Date:  2018-01-19       Impact factor: 84.694

3.  Quantitative Systems Pharmacology: A Framework for Context.

Authors:  Ioannis P Androulakis
Journal:  Curr Pharmacol Rep       Date:  2016-04-08

4.  Structural determinants of peripheral O-arylcarbamate FAAH inhibitors render them dual substrates for Abcb1 and Abcg2 and restrict their access to the brain.

Authors:  Guillermo Moreno-Sanz; Borja Barrera; Andrea Armirotti; Sine M Bertozzi; Rita Scarpelli; Tiziano Bandiera; Julio G Prieto; Andrea Duranti; Giorgio Tarzia; Gracia Merino; Daniele Piomelli
Journal:  Pharmacol Res       Date:  2014-06-30       Impact factor: 7.658

5.  Coverage rate of ADME genes from commercial sequencing arrays.

Authors:  Nabil Zaid; Youness Limami; Nezha Senhaji; Nadia Errafiy; Loubna Khalki; Youssef Bakri; Younes Zaid; Saaid Amzazi
Journal:  Medicine (Baltimore)       Date:  2019-01       Impact factor: 1.817

Review 6.  On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach.

Authors:  Sangsoo Lim; Sangseon Lee; Yinhua Piao; MinGyu Choi; Dongmin Bang; Jeonghyeon Gu; Sun Kim
Journal:  Comput Struct Biotechnol J       Date:  2022-08-05       Impact factor: 6.155

  6 in total

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