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Modelling of compound combination effects and applications to efficacy and toxicity: state-of-the-art, challenges and perspectives.

Published version
Peer-reviewed

Repository DOI


Type

Article

Change log

Authors

Bulusu, Krishna C 
Guha, Rajarshi 
Mason, Daniel J 
Lewis, Richard PI 
Muratov, Eugene 

Abstract

The development of treatments involving combinations of drugs is a promising approach towards combating complex or multifactorial disorders. However, the large number of compound combinations that can be generated, even from small compound collections, means that exhaustive experimental testing is infeasible. The ability to predict the behaviour of compound combinations in biological systems, whittling down the number of combinations to be tested, is therefore crucial. Here, we review the current state-of-the-art in the field of compound combination modelling, with the aim to support the development of approaches that, as we hope, will finally lead to an integration of chemical with systems-level biological information for predicting the effect of chemical mixtures.

Description

Keywords

Animals, Drug Combinations, Drug Interactions, Drug Therapy, Combination, Gene Expression, Humans, Models, Biological, RNA

Journal Title

Drug Discov Today

Conference Name

Journal ISSN

1359-6446
1878-5832

Volume Title

21

Publisher

Elsevier BV
Sponsorship
European Research Council (336159)
KB, YKM and AB thank the European Research Commission (ERC Starting Grant 2013 to AB) for funding. DJM thanks Unilever and RL thanks the EPSRC for funding. EM thanks the financial support from NIH (GM 096967), EPA (RD 83499901), and UNC (2014 Junior Faculty Development Award). MC was supported by the Turkish Academy of Sciences GEBIP Programme.