Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

plmd (protein lysine modification database)

General information

Description: PLMD (Protein Lysine Modifications Database) is an online data resource specifically designed for protein lysine modifications (PLMs)
Year founded: 2017
Last update:
Real time : Checking...
Country/Region: China
Data type:
Data object:
Database category:
Major organism:

Contact information

University/Institution: Huazhong University of Science and Technology
Address: Yongbo Xue Huazhong University of Science and Technology
Country/Region: China
Contact name (PI/Team): Yongbo Xue
Contact email (PI/Helpdesk):

Record metadata

Created on: 2018-01-29
Curated by:
huma shireen [2018-04-12]
zhang yang [2018-01-28]


All databases:
968/4656 (79.231%)
42/194 (78.866%)
Total Rank

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud


PLMD: An updated data resource of protein lysine modifications. [PMID: 28529077]
Xu H, Zhou J, Lin S, Deng W, Zhang Y, Xue Y.

Post-translational modifications (PTMs) occurring at protein lysine residues, or protein lysine modifications (PLMs), play critical roles in regulating biological processes. Due to the explosive expansion of the amount of PLM substrates and the discovery of novel PLM types, here we greatly updated our previous studies, and presented a much more integrative resource of protein lysine modification database (PLMD). In PLMD, we totally collected and integrated 284,780 modification events in 53,501 proteins across 176 eukaryotes and prokaryotes for up to 20 types of PLMs, including ubiquitination, acetylation, sumoylation, methylation, succinylation, malonylation, glutarylation, glycation, formylation, hydroxylation, butyrylation, propionylation, crotonylation, pupylation, neddylation, 2-hydroxyisobutyrylation, phosphoglycerylation, carboxylation, lipoylation and biotinylation. Using the data set, a motif-based analysis was performed for each PLM type, and the results demonstrated that different PLM types preferentially recognize distinct sequence motifs for the modifications. Moreover, various PLMs synergistically orchestrate specific cellular biological processes by mutual crosstalks with each other, and we totally found 65,297 PLM events involved in 90 types of PLM co-occurrences on the same lysine residues. Finally, various options were provided for accessing the data, while original references and other annotations were also present for each PLM substrate. Taken together, we anticipated the PLMD database can serve as a useful resource for further researches of PLMs. PLMD 3.0 was implemented in PHP + MySQL and freely available at

J Genet Genomics. 2017:44(5) | 22 Citations (from Europe PMC, 2020-08-08)