PTMD: A Database of Human Disease-associated Post-translational Modifications

Genomics, Proteomics & Bioinformatics
Haodong XuYu Xue

Abstract

Various posttranslational modifications (PTMs) participate in nearly all aspects of biological processes by regulating protein functions, and aberrant states of PTMs are frequently implicated in human diseases. Therefore, an integral resource of PTM-disease associations (PDAs) would be a great help for both academic research and clinical use. In this work, we reported PTMD, a well-curated database containing PTMs that are associated with human diseases. We manually collected 1950 known PDAs in 749 proteins for 23 types of PTMs and 275 types of diseases from the literature. Database analyses show that phosphorylation has the largest number of disease associations, whereas neurologic diseases have the largest number of PTM associations. We classified all known PDAs into six classes according to the PTM status in diseases and demonstrated that the upregulation and presence of PTM events account for a predominant proportion of disease-associated PTM events. By reconstructing a disease-gene network, we observed that breast cancers have the largest number of associated PTMs and AKT1 has the largest number of PTMs connected to diseases. Finally, the PTMD database was developed with detailed annotations and can be a useful resource for...Continue Reading

Citations

Feb 3, 2020·Briefings in Bioinformatics·Shaofeng LinYu Xue
Apr 29, 2018·Clinical and Translational Medicine·Jiapei LvXiangdong Wang
Feb 13, 2020·Briefings in Bioinformatics·Yanyu LiChunquan Li
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Methods Mentioned

BETA
acetylation
ubiquitination

Software Mentioned

BLAST
KIDFamMap
DisGeNET
MySQL
HHMD
PHP
blastall
Cytoscape Web
IntAct
OMIM

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