Evidence map›Paper›PMID 25399423›Full record

ArticleNucleic acids research2015

dbSNO 2.0: a resource for exploring structural environment, functional and disease association and regulatory network of protein S-nitrosylation.

Yi-Ju Chen, Cheng-Tsung Lu, Min-Gang Su, Kai-Yao Huang, Wei-Chieh Ching, Hsiao-Hsiang Yang, Yen-Chen Liao, Yu-Ju Chen, Tzong-Yi Lee

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Identification of Protein Targets ofACS chemical biology · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Deciphering the Path ofAntioxidants (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. RESTful API for iPTMnet: a resource for protein post-translational modification network discovery.Database : the journal of biological databases and curation · 2020
    Article
  20. Article
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

9 authors.

Yi-Ju ChenInstitute of Chemistry, Academia Sinica, Taipei 115, Taiwan.
Cheng-Tsung LuDepartment 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.
Kai-Yao HuangDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.
Wei-Chieh ChingGraduate Institute of Life Sciences, National Defense Medical Center, Taipei 114, Taiwan.
Hsiao-Hsiang YangDepartment of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan.
Yen-Chen LiaoInstitute of Chemistry, Academia Sinica, Taipei 115, Taiwan Department of Chemistry, National Taiwan University, Taipei 114, Taiwan.
Yu-Ju ChenInstitute of Chemistry, Academia Sinica, Taipei 115, Taiwan Department of Chemistry, National Taiwan University, Taipei 114, Taiwan.
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

Given the increasing number of proteins reported to be regulated by S-nitrosylation (SNO), it is considered to act, in a manner analogous to phosphorylation, as a pleiotropic regulator that elicits dual effects to regulate diverse pathophysiological processes by altering protein function, stability, and conformation change in various cancers and human disorders. Due to its importance in regulating protein functions and cell signaling, dbSNO (http://dbSNO.mbc.nctu.edu.tw) is extended as a resource for exploring structural environment of SNO substrate sites and regulatory networks of S-nitrosylated proteins. An increasing interest in the structural environment of PTM substrate sites motivated us to map all manually curated SNO peptides (4165 SNO sites within 2277 proteins) to PDB protein entries by sequence identity, which provides the information of spatial amino acid composition, solvent-accessible surface area, spatially neighboring amino acids, and side chain orientation for 298 substrate cysteine residues. Additionally, the annotations of protein molecular functions, biological processes, functional domains and human diseases are integrated to explore the functional and disease associations for S-nitrosoproteome. In this update, users are allowed to search a group of interested proteins/genes and the system reconstructs the SNO regulatory network based on the information of metabolic pathways and protein-protein interactions. Most importantly, an endogenous yet pathophysiological S-nitrosoproteomic dataset from colorectal cancer patients was adopted to demonstrate that dbSNO could discover potential SNO proteins involving in the regulation of NO signaling for cancer pathways.

Indexed as

Databases, ProteinProtein Processing, Post-TranslationalAmino AcidsAnimalsDiseaseHumansInternetMetabolic Networks and PathwaysMiceNitric OxideProtein Interaction MappingProteinsRatsSignal TransductionAmino AcidsNitric OxideProteins

Identifiers

PMID25399423
PMCPMC4383970

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.