Evidence map›Paper›PMID 17108361›Full record

ArticleNucleic acids research2007

eSLDB: eukaryotic subcellular localization database.

Andea Pierleoni, Pier Luigi Martelli, Piero Fariselli, Rita Casadio

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events.Interdisciplinary sciences, computational life sciences · 2023
    Article
  2. Review
  3. FungiProteomeDB: a database for the molecular weight and isoelectric points of the fungal proteomes.Database : the journal of biological databases and curation · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Molecules (Basel, Switzerland) · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. LocSigDB: a database of protein localization signals.Database : the journal of biological databases and curation · 2015
    Article
  15. Article
  16. COMPARTMENTS: unification and visualization of protein subcellular localization evidence.Database : the journal of biological databases and curation · 2014
    Article
  17. Article
  18. Article
  19. 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

4 authors.

Andea PierleoniBiocomputing Group, University of Bologna via Irnerio 42, 40126 Bologna, Italy.
Pier Luigi Martelli
Piero Fariselli
Rita Casadio

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eukaryotic Subcellular Localization DataBase collects the annotations of subcellular localization of eukaryotic proteomes. So far five proteomes have been processed and stored: Homo sapiens, Mus musculus, Caenorhabditis elegans, Saccharomyces cerevisiae and Arabidopsis thaliana. For each sequence, the database lists localization obtained adopting three different approaches: (i) experimentally determined (when available); (ii) homology-based (when possible); and (iii) predicted. The latter is computed with a suite of machine learning based methods, developed in house. All the data are available at our website and can be searched by sequence, by protein code and/or by protein description. Furthermore, a more complex search can be performed combining different search fields and keys. All the data contained in the database can be freely downloaded in flat file format. The database is available at http://gpcr.biocomp.unibo.it/esldb/.

Indexed as

Databases, ProteinAnimalsArabidopsis ProteinsCaenorhabditis elegans ProteinsEukaryotic CellsHumansInternetMiceProteomeSaccharomyces cerevisiae ProteinsSequence Homology, Amino AcidUser-Computer InterfaceArabidopsis ProteinsCaenorhabditis elegans ProteinsProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID17108361
PMCPMC1669738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.