Welcome to the SysPTM database, which provides a systematic and sophisticated platform for proteomic PTM research, equipped not only with a knowledge base of manually curated multi-type modification data, but also with four fully developed, in-depth data mining tools. Currently, SysPTM contains data detailing 117349 experimentally determined PTM sites on 33421 proteins involving nearly 50 PTM types, curated from public resources including five databases and four webservers and more than one hundred peer-reviewed mass spectrometry papers. Protein annotations including Pfam domains, KEGG pathways, GO functional classification, and ortholog groups are integrated into the database. Four online tools have been developed and incorporated, including: PTMBlast, to compare a user’s PTM dataset with PTM data in SysPTM; PTMPathway, to map PTM proteins to KEGG pathways; PTMPhylog, to discover potentially conserved PTM sites; and PTMCluster, to find clusters of multi-site modifications. The workflow of SysPTM was demonstrated by analyzing an in-house phosphorylation dataset identified by MS/MS. It is shown that, in SysPTM, the roles of single-type and multi-type modifications can be systematically investigated in a full biological context. SysPTM could be an important contribution to modificomics research.
Hong Li, Xiaobin Xing, Guohui Ding, Qingrun Li, Chuan Wang, Lu Xie, Rong Zeng, Yixue Li. "SysPTM - a Systematic Resource for Proteomic Research of Post-translational Modifications". Molecular Cellular Proteomics, 2009. [FullText]
Questions about SysPTM should be directed to email@example.com