SIGnaling Network Open Resource

SIGNOR, the SIGnaling Network Open Resource, organizes and stores in a structured format signaling information published in the scientific literature. The captured information is stored as binary causative relationships between biological entities and can be represented graphically as activity flow. The entire network can be freely downloaded and used to support logic modeling or to interpret high content datasets. Each relationship is linked to the literature reporting the experimental evidence. In addition each node is annotated with the chemical inhibitors that modulate its activity. The signaling information is mapped to the human proteome even if the experimental evidence is based on experiments on mammalian model organisms.

SIGNOR（信号网络开放资源，SIGnaling Network Open Resource）以结构化形式整理并存储发表于学术文献中的信号通路信息。所采集的信息以生物实体间的二元因果关系形式保存，可被可视化呈现为活性流图谱。该完整网络可免费下载，用于支撑逻辑建模或解析高内涵数据集（high content datasets）。每条因果关系均关联有报道相关实验证据的文献。此外，每个节点均标注有调控其活性的化学抑制剂。即便相关实验证据基于模式哺乳动物的实验，该信号通路信息仍会映射至人类蛋白质组（human proteome）。

搜集汇总

背景与挑战

背景概述

SIGNOR是一个手动注释的因果关系知识库，专门存储人类蛋白质、生物相关化学物质、刺激和表型之间的因果关系。它提供图谱工具和通路浏览功能，支持用户通过搜索和下拉菜单访问相关实体和路径信息。