Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools-Reference-Cited by-同舟云学术

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Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools

Published:2015-06 Issue: Volume:86 Page:83-100
ISSN:0169-409X
Container-title:Advanced Drug Delivery Reviews
language:en
Short-container-title:Advanced Drug Delivery Reviews

Author:

Tao L.,Zhang P.,Qin C.,Chen S.Y.,Zhang C.,Chen Z.,Zhu F.,Yang S.Y.,Wei Y.Q.,Chen Y.Z.

Funder

Major State Basic Research Development Program of China

Singapore Academic Research Fund

Publisher

Elsevier BV

Subject

Pharmaceutical Science

Reference93 articles.

1. Drug discovery: a historical perspective;Drews;Science,2000

2. Present and future in vitro approaches for drug metabolism;Ekins;J. Pharmacol. Toxicol. Methods,2000

3. High-throughput screening in drug metabolism and pharmacokinetic support of drug discovery;White;Annu. Rev. Pharmacol. Toxicol.,2000

4. ADMET in silico modelling: towards prediction paradise?;van de Waterbeemd;Nat. Rev. Drug Discov.,2003

5. Prediction of drug disposition on the basis of its chemical structure;Stepensky;Clin. Pharmacokinet.,2013

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