| Literature DB >> 26360051 |
Krishna C Bulusu1, Rajarshi Guha2, Daniel J Mason3, Richard P I Lewis3, Eugene Muratov4, Yasaman Kalantar Motamedi3, Murat Cokol5, Andreas Bender6.
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.Entities:
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Year: 2015 PMID: 26360051 DOI: 10.1016/j.drudis.2015.09.003
Source DB: PubMed Journal: Drug Discov Today ISSN: 1359-6446 Impact factor: 7.851