STRING: known and predicted protein-protein associations, integrated and transferred across organisms.
STRING: known and predicted protein-protein associations, integrated and transferred across organisms.
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DOI：
10.1093/nar/gki005
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发表时间：
2005-01-01
影响因子：
14.9
通讯作者：
Bork P
中科院分区：
文献类型：
--
作者：
von Mering C;Jensen LJ;Snel B;Hooper SD;Krupp M;Foglierini M;Jouffre N;Huynen MA;Bork P
对蛋白质功能的完整描述需要了解与其特异性相关的所有伴侣蛋白。从功能的角度来看，“关联”可以意味着直接的物理结合，但也可以意味着间接的相互作用，如参与相同的代谢途径或细胞过程。目前，关于蛋白质缔合的信息分散在各种各样的资源和模式生物中。STRING旨在通过提供大量生物体的蛋白质-蛋白质关联的全面但质量受控的集合来简化对这些信息的访问。这些关联来自高通量实验数据、数据库和文献的挖掘以及基于基因组背景分析的预测。STRING通过对这些关联进行基准测试来对它们进行整合和排名，并在一致和直观的Web界面中提供证据。重要的是，在适用的情况下，通过自动转移到其他生物体中的邻位蛋白对，这些关联延伸到它们最初描述的生物体之外。STRING目前在180种完全测序的生物体中拥有73万种蛋白质，可在http://string.embl.de/上获得。
A full description of a protein's function requires knowledge of all partner proteins with which it specifically associates. From a functional perspective, ‘association’ can mean direct physical binding, but can also mean indirect interaction such as participation in the same metabolic pathway or cellular process. Currently, information about protein association is scattered over a wide variety of resources and model organisms. STRING aims to simplify access to this information by providing a comprehensive, yet quality-controlled collection of protein–protein associations for a large number of organisms. The associations are derived from high-throughput experimental data, from the mining of databases and literature, and from predictions based on genomic context analysis. STRING integrates and ranks these associations by benchmarking them against a common reference set, and presents evidence in a consistent and intuitive web interface. Importantly, the associations are extended beyond the organism in which they were originally described, by automatic transfer to orthologous protein pairs in other organisms, where applicable. STRING currently holds 730 000 proteins in 180 fully sequenced organisms, and is available at http://string.embl.de/.
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影响因子：
64.8
作者：
Gavin, AC;Bösche, M;Superti-Furga, G
通讯作者：
Superti-Furga, G
影响因子：
12.3
作者：
Bowers PM;Pellegrini M;Thompson MJ;Fierro J;Yeates TO;Eisenberg D
通讯作者：
Eisenberg D
影响因子：
3
作者：
Donaldson, I;Martin, J;de Bruijn, B;Wolting, C;Lay, V;Tuekam, B;Zhang, SD;Baskin, B;Bader, GD;Michalickova, K;Pawson, T;Hogue, CWV
通讯作者：
Hogue, CWV
影响因子：
14.9
作者：
Bader, GD;Betel, D;Hogue, CWV
通讯作者：
Hogue, CWV
影响因子：
14.9
作者：
Mewes, HW;Amid, C;Ruepp, A
通讯作者：
Ruepp, A