ArticleNucleic acids research2019
dbPTM in 2019: exploring disease association and cross-talk of post-translational modifications.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.
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119 citing papers in PubMed.
- CLASPP: A unified model for predicting post-translational modifications.PLoS computational biology · 2026Article
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- Pan-cancer analysis reveals netrin-1 receptors as potential tumor biomarkers and immune-related therapeutic targets.Scientific reports · 2025Article
- Development and Validation of a High-Throughput Screening Assay for the Legionella ADP-Ribosyl Transferase SdeA.Chembiochem : a European journal of chemical biology · 2025Article
- Yin Yang 1: Role in Leishmaniasis.Cells · 2025Review
- EPSD 2.0: An Updated Database of Protein Phosphorylation Sites Across Eukaryotic Species.Genomics, proteomics & bioinformatics · 2025Article
- Molecular dissection of the role of ACE2 in glucose homeostasis.Physiological reviews · 2025Review
- Post-translational modifications in DNA damage repair: mechanisms underlying temozolomide resistance in glioblastoma.Oncogene · 2025Review
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- O-GlcNAc informatics: advances and trends.Analytical and bioanalytical chemistry · 2025Review
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- GCDH Acetylation Orchestrates DNA Damage Response and Autophagy via Mitochondrial ROS to Suppress Hepatocellular Carcinoma Progression.Research (Washington, D.C.) · 2025Article
- High-Throughput Post-Translational Modification Analyses by Reverse Phase Protein Array.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Post-translational modifications of proteins in cardiovascular diseases examined by proteomic approaches.The FEBS journal · 2025Review
59 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The dbPTM (http://dbPTM.mbc.nctu.edu.tw/) has been maintained for over 10 years with the aim to provide functional and structural analyses for post-translational modifications (PTMs). In this update, dbPTM not only integrates more experimentally validated PTMs from available databases and through manual curation of literature but also provides PTM-disease associations based on non-synonymous single nucleotide polymorphisms (nsSNPs). The high-throughput deep sequencing technology has led to a surge in the data generated through analysis of association between SNPs and diseases, both in terms of growth amount and scope. This update thus integrated disease-associated nsSNPs from dbSNP based on genome-wide association studies. The PTM substrate sites located at a specified distance in terms of the amino acids encoded from nsSNPs were deemed to have an association with the involved diseases. In recent years, increasing evidence for crosstalk between PTMs has been reported. Although mass spectrometry-based proteomics has substantially improved our knowledge about substrate site specificity of single PTMs, the fact that the crosstalk of combinatorial PTMs may act in concert with the regulation of protein function and activity is neglected. Because of the relatively limited information about concurrent frequency and functional relevance of PTM crosstalk, in this update, the PTM sites neighboring other PTM sites in a specified window length were subjected to motif discovery and functional enrichment analysis. This update highlights the current challenges in PTM crosstalk investigation and breaks the bottleneck of how proteomics may contribute to understanding PTM codes, revealing the next level of data complexity and proteomic limitation in prospective PTM research.
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