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Database information

dbPTM (Database of Protein Post-Translational Modifications)

General information

Description: dbPTM is an informative resource for protein post-translational modifications (PTMs).The update also integrates metabolic pathways and protein-protein interactions to support the PTM network analysis for a group of proteins.
Year founded: 2005
Last update:
Version: 4.0
Real time : Checking...
Country/Region: China
Data type:
Data object:
Database category:
Major organism:

Contact information

University/Institution: Yuan Ze University
Address: Department of Computer Science and Engineering,Yuan Ze University,Chung-Li 320,Taiwan
City: Chung-Li
Province/State: Taiwan
Country/Region: China
Contact name (PI/Team): Hsien-Da Huang
Contact email (PI/Helpdesk):

Record metadata

Created on: 2015-06-20
Curated by:
Fatima Batool [2018-09-04]
Lina Ma [2016-04-12]
Jian SA [2016-04-04]
Lin Liu [2016-01-29]
Lin Liu [2016-01-05]
Jian SA [2015-12-06]
Jian SA [2015-06-26]


All databases:
364/4549 (92.02%)
50/671 (92.697%)
15/185 (92.432%)
33/615 (94.797%)
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dbPTM 2016: 10-year anniversary of a resource for post-translational modification of proteins. [PMID: 26578568]
Huang KY, Su MG, Kao HJ, Hsieh YC, Jhong JH, Cheng KH, Huang HD, Lee TY.

Owing to the importance of the post-translational modifications (PTMs) of proteins in regulating biological processes, the dbPTM ( was developed as a comprehensive database of experimentally verified PTMs from several databases with annotations of potential PTMs for all UniProtKB protein entries. For this 10th anniversary of dbPTM, the updated resource provides not only a comprehensive dataset of experimentally verified PTMs, supported by the literature, but also an integrative interface for accessing all available databases and tools that are associated with PTM analysis. As well as collecting experimental PTM data from 14 public databases, this update manually curates over 12 000 modified peptides, including the emerging S-nitrosylation, S-glutathionylation and succinylation, from approximately 500 research articles, which were retrieved by text mining. As the number of available PTM prediction methods increases, this work compiles a non-homologous benchmark dataset to evaluate the predictive power of online PTM prediction tools. An increasing interest in the structural investigation of PTM substrate sites motivated the mapping of all experimental PTM peptides to protein entries of Protein Data Bank (PDB) based on database identifier and sequence identity, which enables users to examine spatially neighboring amino acids, solvent-accessible surface area and side-chain orientations for PTM substrate sites on tertiary structures. Since drug binding in PDB is annotated, this update identified over 1100 PTM sites that are associated with drug binding. The update also integrates metabolic pathways and protein-protein interactions to support the PTM network analysis for a group of proteins. Finally, the web interface is redesigned and enhanced to facilitate access to this resource. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2016:44(D1) | 45 Citations (from Europe PMC, 2020-02-15)
DbPTM 3.0: an informative resource for investigating substrate site specificity and functional association of protein post-translational modifications. [PMID: 23193290]
Lu CT, Huang KY, Su MG, Lee TY, Bretaña NA, Chang WC, Chen YJ, Chen YJ, Huang HD.

Protein modification is an extremely important post-translational regulation that adjusts the physical and chemical properties, conformation, stability and activity of a protein; thus altering protein function. Due to the high throughput of mass spectrometry (MS)-based methods in identifying site-specific post-translational modifications (PTMs), dbPTM ( is updated to integrate experimental PTMs obtained from public resources as well as manually curated MS/MS peptides associated with PTMs from research articles. Version 3.0 of dbPTM aims to be an informative resource for investigating the substrate specificity of PTM sites and functional association of PTMs between substrates and their interacting proteins. In order to investigate the substrate specificity for modification sites, a newly developed statistical method has been applied to identify the significant substrate motifs for each type of PTMs containing sufficient experimental data. According to the data statistics in dbPTM, >60% of PTM sites are located in the functional domains of proteins. It is known that most PTMs can create binding sites for specific protein-interaction domains that work together for cellular function. Thus, this update integrates protein-protein interaction and domain-domain interaction to determine the functional association of PTM sites located in protein-interacting domains. Additionally, the information of structural topologies on transmembrane (TM) proteins is integrated in dbPTM in order to delineate the structural correlation between the reported PTM sites and TM topologies. To facilitate the investigation of PTMs on TM proteins, the PTM substrate sites and the structural topology are graphically represented. Also, literature information related to PTMs, orthologous conservations and substrate motifs of PTMs are also provided in the resource. Finally, this version features an improved web interface to facilitate convenient access to the resource.

Nucleic Acids Res. 2013:41(Database issue) | 99 Citations (from Europe PMC, 2020-02-15)
A comprehensive resource for integrating and displaying protein post-translational modifications. [PMID: 19549291]
Lee TY, Hsu JB, Chang WC, Wang TY, Hsu PC, Huang HD.

BACKGROUND: Protein Post-Translational Modification (PTM) plays an essential role in cellular control mechanisms that adjust protein physical and chemical properties, folding, conformation, stability and activity, thus also altering protein function.
FINDINGS: dbPTM (version 1.0), which was developed previously, aimed on a comprehensive collection of protein post-translational modifications. In this update version (dbPTM2.0), we developed a PTM database towards an expert system of protein post-translational modifications. The database comprehensively collects experimental and predictive protein PTM sites. In addition, dbPTM2.0 was extended to a knowledge base comprising the modified sites, solvent accessibility of substrate, protein secondary and tertiary structures, protein domains, protein intrinsic disorder region, and protein variations. Moreover, this work compiles a benchmark to construct evaluation datasets for computational study to identifying PTM sites, such as phosphorylated sites, glycosylated sites, acetylated sites and methylated sites.
CONCLUSION: The current release not only provides the sequence-based information, but also annotates the structure-based information for protein post-translational modification. The interface is also designed to facilitate the access to the resource. This effective database is now freely accessible at

BMC Res Notes. 2009:2() | 11 Citations (from Europe PMC, 2020-02-08)
dbPTM: an information repository of protein post-translational modification. [PMID: 16381945]
Lee TY, Huang HD, Hung JH, Huang HY, Yang YS, Wang TH.

dbPTM is a database that compiles information on protein post-translational modifications (PTMs), such as the catalytic sites, solvent accessibility of amino acid residues, protein secondary and tertiary structures, protein domains and protein variations. The database includes all of the experimentally validated PTM sites from Swiss-Prot, PhosphoELM and O-GLYCBASE. Only a small fraction of Swiss-Prot proteins are annotated with experimentally verified PTM. Although the Swiss-Prot provides rich information about the PTM, other structural properties and functional information of proteins are also essential for elucidating protein mechanisms. The dbPTM systematically identifies three major types of protein PTM (phosphorylation, glycosylation and sulfation) sites against Swiss-Prot proteins by refining our previously developed prediction tool, KinasePhos ( Solvent accessibility and secondary structure of residues are also computationally predicted and are mapped to the PTM sites. The resource is now freely available at

Nucleic Acids Res. 2006:34(Database issue) | 118 Citations (from Europe PMC, 2020-02-15)