Modelling of compound combination effects and applications to efficacy and toxicity: state-of-the-art, challenges and perspectives
| Autor: | Richard J. Lewis, Krishna C. Bulusu, Andreas Bender, Daniel J. Mason, Yasaman Kalantar Motamedi, Rajarshi Guha, Eugene N. Muratov, Murat Cokol |
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| Přispěvatelé: | Bender, Andreas [0000-0002-6683-7546], Apollo - University of Cambridge Repository |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Pharmacology Gene Expression Nanotechnology QR Microbiology Biology Models Biological Drug Combinations 03 medical and health sciences 030104 developmental biology Chemical mixtures Experimental testing Drug Discovery Animals Humans RNA Drug Interactions Drug Therapy Combination Biochemical engineering |
| Zdroj: | Drug Discovery Today. 21(2):225-238 |
| ISSN: | 1359-6446 |
| DOI: | 10.1016/j.drudis.2015.09.003 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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