PAR4-mediated thrombin signaling events (v2.0)

This is the updated version of an original NCI Pathway Interaction Database (PID) network.
The list of entities (genes, proteins, chemicals, etc) from the original network was used to query the INDRA database, retrieving high-quality relationships between entities. INDRA is a database that integrates information from multiple high-quality text mining engines, pathway databases, and small molecule resources. The INDRA-derived relationships are up-to-date and have links to detailed summaries of supporting literature evidence, including the specific supporting text.
While we have included only high-confidence relationships, text-mining complicated sentences can produce errors such as the reversal of up-regulation vs. down-regulation or the direction of an edge (i.e. B activates A instead of A activates B). Nevertheless, the entity recognition by the text miners is excellent and the text supporting a relationship almost always describes a genuine relationship between the entities.
Legend:
BLUE: edges annotated by INDRA only.
RED: edges annotated both by INDRA and PID.
YELLOW: selected element.

本数据集为原始NCI通路相互作用数据库（NCI Pathway Interaction Database, PID）网络的更新版本。
我们利用原始网络中的实体（基因、蛋白质、化学物质等）列表对INDRA数据库进行查询，获取实体间的高质量关联关系。INDRA数据库整合了多类高质量文本挖掘引擎、通路数据库及小分子资源的信息。
经INDRA获取的关联关系均为最新版本，且附带支撑其成立的文献证据详细摘要，其中包含具体的支撑文本。
尽管本次更新仅纳入高置信度的关联关系，但文本挖掘处理复杂语句时可能产生错误，例如上调与下调关系颠倒，或边的方向反转（即应为B激活A，却误显示为A激活B）。尽管如此，文本挖掘工具对实体的识别效果优异，且支撑某一关联关系的文本几乎总能准确描述实体间的真实关联。
图例：
蓝色：仅由INDRA标注的边。
红色：由INDRA与PID共同标注的边。
黄色：选中元素。