Suppr超能文献

SIGNOR:生物实体之间因果关系的数据库——搜索与浏览简短指南。

SIGNOR: A Database of Causal Relationships Between Biological Entities-A Short Guide to Searching and Browsing.

作者信息

Lo Surdo Prisca, Calderone Alberto, Cesareni Gianni, Perfetto Livia

机构信息

Department of Biology, University of Rome Tor Vergata, Rome, Italy.

IBBE-CNR at the Bioinformatics and Computational Biology Unit, Department of Biology, University of Rome Tor Vergata, Rome, Italy.

出版信息

Curr Protoc Bioinformatics. 2017 Jun 27;58:8.23.1-8.23.16. doi: 10.1002/cpbi.28.

Abstract

SIGNOR (http://signor.uniroma2.it), the SIGnaling Network Open Resource, is a database designed to store experimentally validated causal interactions, i.e., interactions where a source entity has a regulatory effect (up-regulation, down-regulation, etc.) on a second target entity. SIGNOR acts both as a source of signaling information and a support for data analysis, modeling, and prediction. A user-friendly interface features the ability to search entries for any given protein or group of proteins and to display their interactions graphically in a network view. At the time of writing, SIGNOR stores approximately 16,000 manually curated interactions connecting more than 4,000 biological entities (proteins, chemicals, protein complexes, etc.) that play a role in signal transduction. SIGNOR also offers a collection of 37 signaling pathways. SIGNOR can be queried by three search tools: "single-entity" search, "multiple-entity" search, and "pathway" search. This manuscript describes two basic protocols detailing how to navigate and search the SIGNOR database and how to download the annotated dataset for local use. Finally, the support protocol reviews the utilities of the graphic visualizer. © 2017 by John Wiley & Sons, Inc.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验