ScaPD: a database for human scaffold proteins

BMC Bioinformatics

Research

Sheng Liu¹  Jie Wang¹  Jianfei Hu²  Xiaomei Han³  Jiang Qian⁴  Heng Zhu⁵  Jenny Wang⁶ 

[1] Department of Gastroenterology, Zhejiang Provincial People’s Hospital, Hangzhou, Zhejiang, China;Department of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, MD, USA;Department of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, MD, USA;Department of Gastroenterology, Zhejiang Provincial People’s Hospital, Hangzhou, Zhejiang, China;Department of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, MD, USA;The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA;Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA;The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA;Center for High-Throughput Biology, Johns Hopkins School of Medicine, Baltimore, MD, USA;The Horace Mann School in Bronx, Bronx, NY, USA;

关键词: Scaffold protein;    Signaling pathway;    Database;   

DOI  :  10.1186/s12859-017-1806-6

来源: Springer

【 摘 要 】

BackgroundScaffold proteins play a critical role in an increasing number of biological signaling processes, including simple tethering mechanism, regulating selectivity in pathways, shaping cellular behaviors. While many databases document the signaling pathways, few databases are devoted to the scaffold proteins that medicate signal transduction.ResultsHere, we have developed a user-friendly database, ScaPD, to describe computationally predicted, experimentally validated scaffold proteins and associated signaling pathways. It currently contains 273 scaffold proteins and 1118 associated signaling pathways. The database allows users to search, navigate and download the scaffold protein-mediated signaling networks.ConclusionsManually curated and predicted scaffold protein data will be a foundation for further investigation of the scaffold protein in the signal transduction. With maintained up-to-date data, ScaPD (http://bioinfo.wilmer.jhu.edu/ScaPD) will be a valuable resource for understanding how individual signaling pathways are regulated.

【 授权许可】

CC BY   
© The Author(s). 2017