Evidence map›Paper›PMID 11752311›Full record

ArticleNucleic acids research2002

SCOP database in 2002: refinements accommodate structural genomics.

Loredana Lo Conte, Steven E Brenner, Tim J P Hubbard, Cyrus Chothia, Alexey G Murzin

Abstract read
In one paragraph

Article in Nucleic acids research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing 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

147 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Structure of the 40S ribosomal subunit ofActa pharmaceutica Sinica. B · 2017
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Rapid search for tertiary fragments reveals protein sequence-structure relationships.Protein science : a publication of the Protein Society · 2015
    Article
  12. Article
  13. Article
  14. The effect of edge definition of complex networks on protein structure identification.Computational and mathematical methods in medicine · 2013
    Article
  15. Article
  16. Article
  17. Efficient protein structure search using indexing methods.BMC medical informatics and decision making · 2013
    Article
  18. Article
  19. Article
  20. Article

87 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

5 authors.

Loredana Lo ConteMRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 2QH, UK. loredana@mrc-lmb.cam.ac.uk
Steven E Brenner
Tim J P Hubbard
Cyrus Chothia
Alexey G Murzin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SCOP (Structural Classification of Proteins) database is a comprehensive ordering of all proteins of known structure, according to their evolutionary and structural relationships. Protein domains in SCOP are grouped into species and hierarchically classified into families, superfamilies, folds and classes. Recently, we introduced a new set of features with the aim of standardizing access to the database, and providing a solid basis to manage the increasing number of experimental structures expected from structural genomics projects. These features include: a new set of identifiers, which uniquely identify each entry in the hierarchy; a compact representation of protein domain classification; a new set of parseable files, which fully describe all domains in SCOP and the hierarchy itself. These new features are reflected in the ASTRAL compendium. The SCOP search engine has also been updated, and a set of links to external resources added at the level of domain entries. SCOP can be accessed at http://scop.mrc-lmb.cam.ac.uk/scop.

Indexed as

Databases, ProteinGenomeProtein Structure, TertiaryAnimalsEvolution, MolecularInformation Storage and RetrievalInternetProteinsProteins

Identifiers

PMID11752311
PMCPMC99154

What OpenQuestion holds

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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.