Hewitt, M and Ellison, CM and Cronin, MTD and Madden, JC and Pastor, M and Steger-Hartmann, T and Munoz-Muriendas, J and Pognan, F (2015) Ensuring confidence in predictions: A scheme to assess the scientific validity of in silico models. Advanced Drug Delivery Reviews, 86. pp. 101-111. ISSN 0169-409X
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ADDR 2nd Revision 5 March 15 everything inc tables and figs.pdf - Accepted Version
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The use of in silico tools within the drug development process to predict a wide range of properties including absorption, distribution, metabolism, elimination and toxicity has become increasingly important due to changes in legislation and both ethical and economic drivers to reduce animal testing. Whilst in silico tools have been used for decades there remains reluctance to accept predictions based on these methods particularly in regulatory settings. This apprehension arises in part due to lack of confidence in the reliability, robustness and applicability of the models. To address this issue we propose a scheme for the verification of in silico models that enables end users and modellers to assess the scientific validity of models in accordance with the principles of good computer modelling practice. We report here the implementation of the scheme within the Innovative Medicines Initiative project "eTOX" (electronic toxicity) and its application to the in silico models developed within the frame of this project.
|Uncontrolled Keywords:||1115 Pharmacology And Pharmaceutical Sciences|
|Subjects:||R Medicine > RS Pharmacy and materia medica|
|Divisions:||Pharmacy & Biomolecular Sciences|
|Date Deposited:||29 Mar 2016 08:33|
|Last Modified:||29 Mar 2016 08:33|
|DOI or Identification number:||10.1016/j.addr.2015.03.005|
Available Versions of this Item
Ensuring confidence in predictions: A scheme to assess the scientific validity of in silico models. (deposited 02 Feb 2016 11:53)
- Ensuring confidence in predictions: A scheme to assess the scientific validity of in silico models. (deposited 29 Mar 2016 08:33) [Currently Displayed]
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