In silico prediction of ADME and pharmacokinetics. Report of an expert meeting organised by COST B15. (Q42689012)

4 November 2017

title

In silico prediction of ADME and pharmacokinetics. Report of an expert meeting organised by COST B15. (English)

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4 November 2017

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Olavi Pelkonen

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4 November 2017

Ursula Gundert-Remy

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4 November 2017

Alan Boobis

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4 November 2017

Pierre Kremers

series ordinal

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4 November 2017

Panos Macheras

series ordinal

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4 November 2017

language of work or name

English

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publication date

1 December 2002

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European Journal of Pharmaceutical Sciences

4 November 2017

language of work

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4 November 2017

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4 November 2017

issue

4-5

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4 November 2017

page(s)

183-193

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COST B15: modelling in drug development.

4 November 2017

cites work

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Experimental and computational screening models for prediction of aqueous drug solubility

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Mode-of-action-based dosimeters for interspecies extrapolation of vinyl acetate inhalation risk

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Absorption potential and its variants.

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Comparison of cancer risk estimates for vinyl chloride using animal and human data with a PBPK model.

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Absorption potential: estimating the fraction absorbed for orally administered compounds

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Application of in silico approaches to predicting drug--drug interactions

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7 January 2021

Progress in predicting human ADME parameters in silico

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Theoretical Model Studies of Drug Absorption and Transport in the GI Tract III

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ADMET--turning chemicals into drugs

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Computational models for cytochrome P450: a predictive electronic model for aromatic oxidation and hydrogen atom abstraction

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Role of drug metabolism in drug discovery and development

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Toward a quantitative approach for the prediction of the fraction of dose absorbed using the absorption potential concept

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Development of predictive pharmacokinetic simulation models for drug discovery

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Prediction of pharmacokinetics prior to in vivo studies. II. Generic physiologically based pharmacokinetic models of drug disposition

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7 January 2021

Prediction of adipose tissue: plasma partition coefficients for structurally unrelated drugs

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Pharmaceutical innovation by the seven UK-owned pharmaceutical companies (1964-1985)

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Predicting fraction dose absorbed in humans using a macroscopic mass balance approach

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Experimental and computational screening models for the prediction of intestinal drug absorption

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7 January 2021

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Theoretical Model Studies of Drug Absorption and Transport in the Gastrointestinal Tract II

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Role of the development scientist in compound lead selection and optimization

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Prediction of human intestinal absorption of drug compounds from molecular structure.

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A compartmental absorption and transit model for estimating oral drug absorption.

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7 January 2021

Evaluation of human intestinal absorption data and subsequent derivation of a quantitative structure-activity relationship (QSAR) with the Abraham descriptors.

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7 January 2021

10.1016/S0928-0987(02)00185-9

Identifiers

DOI

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4 November 2017

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