Department of Ophthalmology, Johns Hopkins School of Medicine, Department of Pharmacology and Molecular Sciences, Center for High-Throughput Biology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA, Department of Biology, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA and The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Bioinformatics. 2014 Jan 1;30(1):141-2. doi: 10.1093/bioinformatics/btt627. Epub 2013 Nov 13.
Phosphorylation plays an important role in cellular signal transduction. Current phosphorylation-related databases often focus on the phosphorylation sites, which are mainly determined by mass spectrometry. Here, we present PhosphoNetworks, a phosphorylation database built on a high-resolution map of phosphorylation networks. This high-resolution map of phosphorylation networks provides not only the kinase-substrate relationships (KSRs), but also the specific phosphorylation sites on which the kinases act on the substrates. The database contains the most comprehensive dataset for KSRs, including the relationships from a recent high-throughput project for identification of KSRs using protein microarrays, as well as known KSRs curated from the literature. In addition, the database also includes several analytical tools for dissecting phosphorylation networks. PhosphoNetworks is expected to play a prominent role in proteomics and phosphorylation-related disease research.
磷酸化在细胞信号转导中起着重要作用。目前的磷酸化相关数据库通常专注于磷酸化位点，这些位点主要是通过质谱来确定的。在这里，我们展示了 PhosphoNetworks，这是一个基于磷酸化网络高分辨率图谱构建的磷酸化数据库。这个磷酸化网络的高分辨率图谱不仅提供了激酶-底物关系（KSRs），还提供了激酶在底物上作用的具体磷酸化位点。该数据库包含了最全面的 KSRs 数据集，包括最近使用蛋白质微阵列鉴定 KSRs 的高通量项目中的关系，以及从文献中整理的已知 KSRs。此外，该数据库还包含了用于剖析磷酸化网络的几个分析工具。预计 PhosphoNetworks 将在蛋白质组学和与磷酸化相关的疾病研究中发挥突出作用。
