生化工程
计算机科学
领域(数学)
铅(地质)
风险分析(工程)
计算生物学
医学
工程类
生物
数学
古生物学
纯数学
作者
Krishna C. Bulusu,Rajarshi Guha,Daniel J. Mason,Richard P. Lewis,Eugene Muratov,Yasaman Kalantar Motamedi,Murat Cokol,Andreas Bender
标识
DOI:10.1016/j.drudis.2015.09.003
摘要
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.
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