Evidence map›Paper›PMID 11752247›Full record

ArticleNucleic acids research2002

The Protein Information Resource: an integrated public resource of functional annotation of proteins.

Cathy H Wu, Hongzhan Huang, Leslie Arminski, Jorge Castro-Alvear, Yongxing Chen, Zhang-Zhi Hu, Robert S Ledley, Kali C Lewis, Hans-Werner Mewes, Bruce C Orcutt and 6 more

Open access · greenAbstract 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 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
14.7field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 211 citations in OpenAlex.

  1. Article
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  4. Machine and Deep Learning for Prediction of Subcellular Localization.Methods in molecular biology (Clifton, N.J.) · 2021
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  7. Pressing needs of biomedical text mining in biocuration and beyond: opportunities and challenges.Database : the journal of biological databases and curation · 2016
    Article
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  17. Article
  18. Article
  19. Article
  20. Article

3 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

16 authors at 1 institution in 1 country.

Cathy H WuNational Biomedical Research Foundation, Georgetown University Medical Center, 3900 Reservoir Road, NW, Washington, DC 20007, USA. pirmail@nbrf.georgetown.edu
Hongzhan Huang
Leslie Arminski
Jorge Castro-Alvear
Yongxing Chen
Zhang-Zhi Hu
Robert S Ledley
Kali C Lewis
Hans-Werner Mewes
Bruce C Orcutt
Baris E Suzek
Akira Tsugita
C R Vinayaka
Lai-Su L Yeh
Jian Zhang
Winona C Barker
Biomedical Research Foundation · US

Funding

INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY 1995R13LM005978 · NLM · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 1995 to 1995
–
NLM NIH HHS P41 LM05978
6 · The paper itself

Abstract

The Protein Information Resource (PIR) serves as an integrated public resource of functional annotation of protein data to support genomic/proteomic research and scientific discovery. The PIR, in collaboration with the Munich Information Center for Protein Sequences (MIPS) and the Japan International Protein Information Database (JIPID), produces the PIR-International Protein Sequence Database (PSD), the major annotated protein sequence database in the public domain, containing about 250 000 proteins. To improve protein annotation and the coverage of experimentally validated data, a bibliography submission system is developed for scientists to submit, categorize and retrieve literature information. Comprehensive protein information is available from iProClass, which includes family classification at the superfamily, domain and motif levels, structural and functional features of proteins, as well as cross-references to over 40 biological databases. To provide timely and comprehensive protein data with source attribution, we have introduced a non-redundant reference protein database, PIR-NREF. The database consists of about 800 000 proteins collected from PIR-PSD, SWISS-PROT, TrEMBL, GenPept, RefSeq and PDB, with composite protein names and literature data. To promote database interoperability, we provide XML data distribution and open database schema, and adopt common ontologies. The PIR web site (http://pir.georgetown.edu/) features data mining and sequence analysis tools for information retrieval and functional identification of proteins based on both sequence and annotation information. The PIR databases and other files are also available by FTP (ftp://nbrfa.georgetown.edu/pir_databases).

Indexed as

Databases, ProteinAmino Acid SequenceAnimalsHumansInformation Storage and RetrievalInternational AgenciesInternetProteinsSystems IntegrationProteins

Identifiers

PMID11752247
PMCPMC99125
OpenAlexW2112012991

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.