Literature DB >> 11858639

In silico ADME/Tox: the state of the art.

Sean Ekins1, John Rose.   

Abstract

The field of computational (in silico) ADME/Tox (absorption, distribution, metabolism, excretion, and toxicity) is receiving increased attention due a better appreciation that these molecular properties should be considered earlier in the drug discovery process. This report briefly reviews selected papers presented at the 220th National Meeting of the American Chemical Society, Washington, DC, 20-24 August, 2000, and describes the types of ADME/Tox computational models presented, the results obtained, and relevant recent publications that coincide with the work reported.

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Year:  2002        PMID: 11858639     DOI: 10.1016/s1093-3263(01)00127-9

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  14 in total

1.  An atomistic model of passive membrane permeability: application to a series of FDA approved drugs.

Authors:  Chakrapani Kalyanaraman; Matthew P Jacobson
Journal:  J Comput Aided Mol Des       Date:  2007-11-08       Impact factor: 3.686

2.  Towards a new age of virtual ADME/TOX and multidimensional drug discovery.

Authors:  Sean Ekins; Bruno Boulanger; Peter W Swaan; Maggie A Z Hupcey
Journal:  J Comput Aided Mol Des       Date:  2002 May-Jun       Impact factor: 3.686

3.  Testing physical models of passive membrane permeation.

Authors:  Siegfried S F Leung; Jona Mijalkovic; Kenneth Borrelli; Matthew P Jacobson
Journal:  J Chem Inf Model       Date:  2012-05-24       Impact factor: 4.956

4.  Deficiencies in the reporting of VD and t(1/2) in the FDA approved chemotherapy drug inserts.

Authors:  Malcolm J D'Souza; Ghada J Alabed
Journal:  Pharm Rev       Date:  2010-02-03

5.  Automated selection of compounds with physicochemical properties to maximize bioavailability and druglikeness.

Authors:  Taiji Oashi; Ashley L Ringer; E Prabhu Raman; Alexander D Mackerell
Journal:  J Chem Inf Model       Date:  2010-12-06       Impact factor: 4.956

Review 6.  Computational approaches to analyse and predict small molecule transport and distribution at cellular and subcellular levels.

Authors:  Kyoung Ah Min; Xinyuan Zhang; Jing-yu Yu; Gus R Rosania
Journal:  Biopharm Drug Dispos       Date:  2013-12-10       Impact factor: 1.627

Review 7.  Towards a new age of virtual ADME/TOX and multidimensional drug discovery.

Authors:  Sean Ekins; Bruno Boulanger; Peter W Swaan; Maggie A Z Hupcey
Journal:  Mol Divers       Date:  2002       Impact factor: 2.943

8.  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

9.  SolTranNet-A Machine Learning Tool for Fast Aqueous Solubility Prediction.

Authors:  Paul G Francoeur; David R Koes
Journal:  J Chem Inf Model       Date:  2021-05-26       Impact factor: 6.162

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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