Mechanisms of drug combinations: interaction and network perspectives

By Jia Jia, Feng Zhu, Xiaohua Ma, Zhiwei Cao, Yixue Li, Yuzong Chen. 2009

563 citations recorded by the source corpus.

How researchers see this paper

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Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities (2018, background): “A drug combination consists of multiple drugs, each of which has generally been used as a single effective medication in a patient population [279].”
Predicting cellular responses to complex perturbations in high‐throughput screens (2023, background): “Combinatorial drug therapies are hypothesized to address the limited effectiveness of mono-therapies (Menden et al , 2019) and prevent drug resistance in cancer therapies (Jia et al , 2009; Menden et al , 2019; Adam et al , 2020).”
Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics (2019, background): “microRNAs, transcription factors and interacting proteins) is useful for drug discovery tasks (Supplementary Table S1) such as the investigations of target druggability (6,30), systems pharmacology (31) and the discovery of multi-target and combination therapies (32,33).”
Network-based prediction of drug combinations (2019, methodology): “In order to reduce the noise of co-expression analysis, we mapped PCC ( a, b ) into the human protein – protein interactome network (Supplementary Methods 2) to build a co-expressed protein – protein interactome network as described previously 51 .”