Evidence map›Paper›PMID 19958484›Full record

ArticleBMC genomics2009

MitoInteractome: mitochondrial protein interactome database, and its application in 'aging network' analysis.

Rohit Reja, A J Venkatakrishnan, Jungwoo Lee, Byoung-Chul Kim, Jea-Woon Ryu, Sungsam Gong, Jong Bhak, Daeui Park

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. The post-genomic era of biological network alignment.EURASIP journal on bioinformatics & systems biology · 2015
    Article
  6. Article
  7. Article
  8. Review
  9. Systems biology for molecular life sciences and its impact in biomedicine.Cellular and molecular life sciences : CMLS · 2013
    Review
  10. Mitochondria and cancer: past, present, and future.BioMed research international · 2013
    Review
  11. Article
  12. Review
  13. 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

8 authors at 4 institutions in 2 countries.

Rohit RejaKorean Bioinformation Center, KRIBB, Daejeon, 305-806, Korea. rohit@kribb.re.kr
A J Venkatakrishnan
Jungwoo Lee
Byoung-Chul Kim
Jea-Woon Ryu
Sungsam Gong
Jong Bhak
Daeui Park
Korea Research Institute of Bioscience and Biotechnology · KRKorean Register (South Korea) · KRKorea University of Science and Technology · KRUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondria play a vital role in the energy production and apoptotic process of eukaryotic cells. Proteins in the mitochondria are encoded by nuclear and mitochondrial genes. Owing to a large increase in the number of identified mitochondrial protein sequences and completed mitochondrial genomes, it has become necessary to provide a web-based database of mitochondrial protein information.

resultsWe present 'MitoInteractome', a consolidated web-based portal containing a wealth of information on predicted protein-protein interactions, physico-chemical properties, polymorphism, and diseases related to the mitochondrial proteome. MitoInteractome contains 6,549 protein sequences which were extracted from the following databases: SwissProt, MitoP, MitoProteome, HPRD and Gene Ontology database. The first general mitochondrial interactome has been constructed based on the concept of 'homologous interaction' using PSIMAP (Protein Structural Interactome MAP) and PEIMAP (Protein Experimental Interactome MAP). Using the above mentioned methods, protein-protein interactions were predicted for 74 species. The mitochondrial protein interaction data of humans was used to construct a network for the aging process. Analysis of the 'aging network' gave us vital insights into the interactions among proteins that influence the aging process.

conclusionMitoInteractome is a comprehensive database that would (1) aid in increasing our understanding of the molecular functions and interaction networks of mitochondrial proteins, (2) help in identifying new target proteins for experimental research using predicted protein-protein interaction information, and (3) help in identifying biomarkers for diagnosis and new molecular targets for drug development related to mitochondria. MitoInteractome is available at http://mitointeractome.kobic.kr/.

Indexed as

AgingDatabases, ProteinComputational BiologyHumansInternetMitochondrial ProteinsProteomeSequence Analysis, ProteinMitochondrial ProteinsProteome

Identifiers

PMID19958484
PMCPMC2788373
OpenAlexW2031543355

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.