Advanced systems biology methods in drug discovery and translational biomedicine.
Advanced systems biology methods in drug discovery and translational biomedicine.
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药物发现和转化生物医学中的先进系统生物学方法
DOI：
10.1155/2013/742835
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发表时间：
2013
影响因子：
--
通讯作者：
Su ZG
中科院分区：
文献类型：
--
作者：
Zou J;Zheng MW;Li G;Su ZG
近年来，系统生物学正处于指数发展阶段，在生物医学领域得到了广泛的应用，以更好地了解人类疾病的分子基础和药物作用机制。本文讨论了系统生物学的基本概念及其常用的两种计算方法，即网络分析和动态建模。强调了系统生物学在阐明人类疾病方面的应用，包括人类疾病网络、治疗反应预测、疾病机制研究和疾病相关基因预测。此外，还讨论了系统生物学在药物发现方面的重要进展，包括药物靶点网络、药物靶点相互作用的预测、药物不良反应的研究、药物重新定位和药物组合预测。本综述所涵盖的系统生物学方法和应用为解决疾病机制和接近药物发现提供了一个框架，这将促进研究成果转化为临床益处，如新的生物标志物和有希望的治疗方法。
Systems biology is in an exponential development stage in recent years and has been widely utilized in biomedicine to better understand the molecular basis of human disease and the mechanism of drug action. Here, we discuss the fundamental concept of systems biology and its two computational methods that have been commonly used, that is, network analysis and dynamical modeling. The applications of systems biology in elucidating human disease are highlighted, consisting of human disease networks, treatment response prediction, investigation of disease mechanisms, and disease-associated gene prediction. In addition, important advances in drug discovery, to which systems biology makes significant contributions, are discussed, including drug-target networks, prediction of drug-target interactions, investigation of drug adverse effects, drug repositioning, and drug combination prediction. The systems biology methods and applications covered in this review provide a framework for addressing disease mechanism and approaching drug discovery, which will facilitate the translation of research findings into clinical benefits such as novel biomarkers and promising therapies.
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影响因子：
11.2
作者：
Iadevaia S;Lu Y;Morales FC;Mills GB;Ram PT
通讯作者：
Ram PT
生物医学模型拟合和误差分析。
影响因子：
7.3
作者：
Costa KD;Kleinstein SH;Hershberg U
通讯作者：
Hershberg U
DOI：
10.1126/science.1179050
发表时间：
2009-10-09
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Amit I;Garber M;Chevrier N;Leite AP;Donner Y;Eisenhaure T;Guttman M;Grenier JK;Li W;Zuk O;Schubert LA;Birditt B;Shay T;Goren A;Zhang X;Smith Z;Deering R;McDonald RC;Cabili M;Bernstein BE;Rinn JL;Meissner A;Root DE;Hacohen N;Regev A
通讯作者：
Regev A
影响因子：
56.9
作者：
Campillos, Monica;Kuhn, Michael;Bork, Peer
通讯作者：
Bork, Peer
影响因子：
64.8
作者：
通讯作者：
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