STRING v10: protein-protein interaction networks, integrated over the tree of life.
STRING v10: protein-protein interaction networks, integrated over the tree of life.
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DOI：
10.1093/nar/gku1003
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发表时间：
2015-01
影响因子：
14.9
通讯作者：
von Mering C
中科院分区：
文献类型：
--
作者：
Szklarczyk D;Franceschini A;Wyder S;Forslund K;Heller D;Huerta-Cepas J;Simonovic M;Roth A;Santos A;Tsafou KP;Kuhn M;Bork P;Jensen LJ;von Mering C
蛋白质之间发生的许多功能伙伴关系和相互作用是细胞加工的核心，它们的系统表征有助于提供分子系统生物学的背景。然而，已知和预测的相互作用分散在多个资源中，现有数据在质量和完整性方面存在显著差异。STRING数据库（http：string-db.org）旨在提供蛋白质-蛋白质相互作用的关键评估和整合，包括直接（物理）以及间接（功能）关联。STRING的新版本10.0涵盖了2000多种生物，这需要新颖的、可扩展的算法来传输生物之间的相互作用信息。为了这个目的，我们已经引入了层次和自我一致的正交注释所有相互作用的蛋白质，分组的蛋白质在不同层次的系统发育分辨率的家庭。10.0版的进一步改进包括一个完全重新设计的预测管道，用于从共表达数据推断蛋白质-蛋白质关联，R计算环境的API接口以及改进的统计分析，用于用户提供的网络中的富集测试。
The many functional partnerships and interactions that occur between proteins are at the core of cellular processing and their systematic characterization helps to provide context in molecular systems biology. However, known and predicted interactions are scattered over multiple resources, and the available data exhibit notable differences in terms of quality and completeness. The STRING database (http://string-db.org) aims to provide a critical assessment and integration of protein–protein interactions, including direct (physical) as well as indirect (functional) associations. The new version 10.0 of STRING covers more than 2000 organisms, which has necessitated novel, scalable algorithms for transferring interaction information between organisms. For this purpose, we have introduced hierarchical and self-consistent orthology annotations for all interacting proteins, grouping the proteins into families at various levels of phylogenetic resolution. Further improvements in version 10.0 include a completely redesigned prediction pipeline for inferring protein–protein associations from co-expression data, an API interface for the R computing environment and improved statistical analysis for enrichment tests in user-provided networks.
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影响因子：
14.9
作者：
Jensen LJ;Kuhn M;Stark M;Chaffron S;Creevey C;Muller J;Doerks T;Julien P;Roth A;Simonovic M;Bork P;von Mering C
通讯作者：
von Mering C
影响因子：
14.9
作者：
Chatr-Aryamontri A;Breitkreutz BJ;Heinicke S;Boucher L;Winter A;Stark C;Nixon J;Ramage L;Kolas N;O'Donnell L;Reguly T;Breitkreutz A;Sellam A;Chen D;Chang C;Rust J;Livstone M;Oughtred R;Dolinski K;Tyers M
通讯作者：
Tyers M
DOI：
10.1093/bioinformatics/btp602
发表时间：
2010-01-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Niu Y;Otasek D;Jurisica I
通讯作者：
Jurisica I
影响因子：
12.3
作者：
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者：
Zhang J
影响因子：
14.9
作者：
Baspinar A;Cukuroglu E;Nussinov R;Keskin O;Gursoy A
通讯作者：
Gursoy A