Evidence map›Paper›PMID 11125047›Full record

ArticleNucleic acids research2001

iProClass: an integrated, comprehensive and annotated protein classification database.

C H Wu, C Xiao, Z Hou, H Huang, W C Barker

Abstract read
In one paragraph

Article in Nucleic acids research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Databases and QSAR for cancer research.Cancer informatics · 2007
    Article
  7. Article
  8. Article
  9. Article
  10. The Protein Information Resource.Nucleic acids research · 2003
    Article
  11. Article
  12. Article
  13. Review
  14. 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

5 authors.

C H WuProtein Information Resource, National Biomedical Research Foundation, Georgetown University Medical Center, 3900 Reservoir Road, NW Washington, DC 20007-2195, USA. wuc@nbrf.georgetown.edu
C Xiao
Z Hou
H Huang
W C Barker

Funding

PROTEIN INFORMATION RESOURCE FOR THE NEXT MILLENNIUMP41LM005798 · NLM · NATIONAL BIOMEDICAL RESEARCH FOUNDATION · PI WU, CATHY H · 1995 to 2002
$3.5M
NLM NIH HHS P41 LM05798
6 · The paper itself

Abstract

The iProClass database is an integrated resource that provides comprehensive family relationships and structural and functional features of proteins, with rich links to various databases. It is extended from ProClass, a protein family database that integrates PIR superfamilies and PROSITE motifs. The iProClass currently consists of more than 200,000 non-redundant PIR and SWISS-PROT proteins organized with more than 28,000 superfamilies, 2600 domains, 1300 motifs, 280 post-translational modification sites and links to more than 30 databases of protein families, structures, functions, genes, genomes, literature and taxonomy. Protein and family summary reports provide rich annotations, including membership information with length, taxonomy and keyword statistics, full family relationships, comprehensive enzyme and PDB cross-references and graphical feature display. The database facilitates classification-driven annotation for protein sequence databases and complete genomes, and supports structural and functional genomic research. The iProClass is implemented in Oracle 8i object-relational system and available for sequence search and report retrieval at http://pir.georgetown.edu/iproclass/.

Indexed as

Databases, FactualProteinsInformation ServicesInternetProteins

Identifiers

PMID11125047
PMCPMC29833

What OpenQuestion holds

Textmetadata
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.