Biomolecular Network-Based Synergistic Drug Combination Discovery.
Biomolecular Network-Based Synergistic Drug Combination Discovery.
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DOI：
10.1155/2016/8518945
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发表时间：
2016
影响因子：
--
通讯作者：
Xie L
中科院分区：
文献类型：
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作者：
Li X;Qin G;Yang Q;Chen L;Xie L
Drug combination is a powerful and promising approach for complex disease therapy such as cancer and cardiovascular disease. However, the number of synergistic drug combinations approved by the Food and Drug Administration is very small. To bridge the gap between urgent need and low yield, researchers have constructed various models to identify synergistic drug combinations. Among these models, biomolecular network-based model is outstanding because of its ability to reflect and illustrate the relationships among drugs, disease-related genes, therapeutic targets, and disease-specific signaling pathways as a system. In this review, we analyzed and classified models for synergistic drug combination prediction in recent decade according to their respective algorithms. Besides, we collected useful resources including databases and analysis tools for synergistic drug combination prediction. It should provide a quick resource for computational biologists who work with network medicine or synergistic drug combination designing.
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影响因子：
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作者：
Fazekas D;Koltai M;Türei D;Módos D;Pálfy M;Dúl Z;Zsákai L;Szalay-Bekő M;Lenti K;Farkas IJ;Vellai T;Csermely P;Korcsmáros T
通讯作者：
Korcsmáros T
ASDCD：抗真菌协同药物组合数据库
影响因子：
3.7
作者：
Chen X;Ren B;Chen M;Liu MX;Ren W;Wang QX;Zhang LX;Yan GY
通讯作者：
Yan GY
影响因子：
46.9
作者：
Bansal, Mukesh;Yang, Jichen;Karan, Charles;Menden, Michael P.;Costello, James C.;Tang, Hao;Xiao, Guanghua;Li, Yajuan;Allen, Jeffrey;Zhong, Rui;Chen, Beibei;Kim, Minsoo;Wang, Tao;Heiser, Laura M.;Realubit, Ronald;Mattioli, Michela;Alvarez, Mariano J.;Shen, Yao;Gallahan, Daniel;Singer, Dinah;Saez-Rodriguez, Julio;Xie, Yang;Stolovitzky, Gustavo;Califano, Andrea;Abbuehl, Jean-Paul;Altman, Russ B.;Balcome, Shawn;Bell, Ana;Bender, Andreas;Berger, Bonnie;Bernard, Jonathan;Bieberich, Andrew A.;Borboudakis, Giorgos;Chan, Christina;Chen, Ting-Huei;Choi, Jaejoon;Coelho, Luis Pedro;Creighton, Chad J.;Dampier, Will;Davisson, V. Jo;Deshpande, Raamesh;Diao, Lixia;Di Camillo, Barbara;Dundar, Murat;Ertel, Adam;Goswami, Chirayu P.;Gottlieb, Assaf;Gould, Michael N.;Goya, Jonathan;Grau, Michael;Gray, Joe W.;Hejase, Hussein A.;Hoffmann, Michael F.;Homicsko, Krisztian;Homilius, Max;Hwang, Woochang;Ijzerman, Adriaan P.;Kallioniemi, Olli;Karacali, Bilge;Kaski, Samuel;Kim, Junho;Krishnan, Arjun;Lee, Junehawk;Lee, Young-Suk;Lenselink, Eelke B.;Lenz, Peter;Li, Lang;Li, Jun;Liang, Han;Mpindi, John-Patrick;Myers, Chad L.;Newton, Michael A.;Overington, John P.;Parkkinen, Juuso;Prill, Robert J.;Peng, Jian;Pestell, Richard;Qiu, Peng;Rajwa, Bartek;Sadanandam, Anguraj;Sambo, Francesco;Sridhar, Arvind;Sun, Wei;Toffolo, Gianna M.;Tozeren, Aydin;Troyanskaya, Olga G.;Tsamardinos, Ioannis;van Vlijmen, Herman W. T.;Wang, Wen;Wegner, Joerg K.;Wennerberg, Krister;van Westen, Gerard J. P.;Xia, Tian;Yang, Yang;Yao, Victoria;Yuan, Yuan;Zeng, Haoyang;Zhang, Shihua;Zhao, Junfei;Zhou, Jian
通讯作者：
Zhou, Jian
影响因子：
3.7
作者：
Chen CY
通讯作者：
Chen CY
DOI：
10.1038/nrg2918
发表时间：
2011-01
期刊：
Nature reviews. Genetics
影响因子：
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作者：
通讯作者：
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