In Silico Absorption, Distribution, Metabolism, Excretion, and Pharmacokinetics (ADME-PK): Utility and Best Practices. An Industry Perspective from the International Consortium for Innovation through Quality in Pharmaceutical Development-Reference-Cited by-同舟云学术

In Silico Absorption, Distribution, Metabolism, Excretion, and Pharmacokinetics (ADME-PK): Utility and Best Practices. An Industry Perspective from the International Consortium for Innovation through Quality in Pharmaceutical Development

Published:2017-06-27 Issue:22 Volume:60 Page:9097-9113
ISSN:0022-2623
Container-title:Journal of Medicinal Chemistry
language:en
Short-container-title:J. Med. Chem.

Author:

Lombardo Franco¹,Desai Prashant V.²,Arimoto Rieko³,Desino Kelly E.⁴,Fischer Holger⁵,Keefer Christopher E.⁶,Petersson Carl⁷,Winiwarter Susanne⁸,Broccatelli Fabio⁹^ORCID

Affiliation:

1. Alkermes Inc., 852 Winter Street, Waltham, Massachusetts 02451, United States

2. Computational ADME, Drug Disposition, Eli Lilly and Company, Indianapolis, Indiana 46285, United States

3. Vertex Pharmaceuticals Inc., 50 Northern Avenue, Boston, Massachusetts 02210, United States

4. AbbVie, Inc., North Chicago, Illinois 60064, United States

5. Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Innovation Center Basel, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland

6. Pfizer Inc., Groton, Connecticut 06340, United States

7. Discovery Drug Disposition, Biopharma, R&D Global Early Development, EMD Serono, Frankfurter Strasse 250 I Postcode D39/001, 64293 Darmstadt, Germany

8. Drug Safety and Metabolism, AstraZeneca R&D Gothenburg, 431 83 Mölndal, Sweden

9. Genentech Inc., South San Francisco, California 94080, United States

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jmedchem.7b00487

Reference71 articles.

1. ADMET in silico modelling: towards prediction paradise?

2. In Silico ADME Prediction: Data, Models, Facts and Myths

3. In-Silico ADME Models: A General Assessment of their Utility in Drug Discovery Applications