Evidence map›Paper›PMID 26578568›Full record

ArticleNucleic acids research2016

dbPTM 2016: 10-year anniversary of a resource for post-translational modification of proteins.

Kai-Yao Huang, Min-Gang Su, Hui-Ju Kao, Yun-Chung Hsieh, Jhih-Hua Jhong, Kuang-Hao Cheng, Hsien-Da Huang, Tzong-Yi Lee

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

91 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Importance of PTM of FLT3 in acute myeloid leukemia.Acta biochimica et biophysica Sinica · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Global Profiling of 2-hydroxyisobutyrylome in Common Wheat.Genomics, proteomics & bioinformatics · 2022
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kai-Yao HuangDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.
Min-Gang SuDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.
Hui-Ju KaoDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.
Yun-Chung HsiehDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.
Jhih-Hua JhongDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.
Kuang-Hao ChengDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.
Hsien-Da HuangDepartment of Biological Science and Technology, National Chiao Tung University, Hsinchu 300, Taiwan Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 300, Taiwan bryan@mail.nctu.edu.tw.
Tzong-Yi LeeDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan francis@saturn.yzu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the importance of the post-translational modifications (PTMs) of proteins in regulating biological processes, the dbPTM (http://dbPTM.mbc.nctu.edu.tw/) 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.

Indexed as

Databases, ProteinProtein Processing, Post-TranslationalBinding SitesDiseaseGlycosylationMetabolic Networks and PathwaysPharmaceutical PreparationsProtein ConformationProtein Interaction MappingPharmaceutical Preparations

Identifiers

PMID26578568
PMCPMC4702878

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.