Evidence map›Paper›PMID 14681371›Full record

ArticleNucleic acids research2004

PIRSF: family classification system at the Protein Information Resource.

Cathy H Wu, Anastasia Nikolskaya, Hongzhan Huang, Lai-Su L Yeh, Darren A Natale, C R Vinayaka, Zhang-Zhi Hu, Raja Mazumder, Sandeep Kumar, Panagiotis Kourtesis and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

125 citing papers in PubMed, 245 citations in OpenAlex.

  1. HMMER web server: 2026 update.Nucleic acids research · 2026
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65 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

20 authors at 1 institution in 1 country.

Cathy H WuDepartment of Biochemistry and Molecular Biology, Georgetown University Medical Center, 3900 Reservoir Road, NW, Box 571414, Washington, DC 20057-1414, USA. pirmail@georgetown.edu
Anastasia Nikolskaya
Hongzhan Huang
Lai-Su L Yeh
Darren A Natale
C R Vinayaka
Zhang-Zhi Hu
Raja Mazumder
Sandeep Kumar
Panagiotis Kourtesis
Robert S Ledley
Baris E Suzek
Leslie Arminski
Yongxing Chen
Jian Zhang
Jorge Louie Cardenas
Sehee Chung
Jorge Castro-Alvear
Georgi Dinkov
Winona C Barker
Georgetown University · US

Funding

The UniProt protein sequence and function knowledgebaseU01HG002712 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI APWEILER, ROLF · 2002 to 2009
$44.3M
NHGRI NIH HHS U01 HG002712NHGRI NIH HHS U01 HG02712
6 · The paper itself

Abstract

The Protein Information Resource (PIR) is an integrated public resource of protein informatics. To facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors, PIR has extended its superfamily concept and developed the SuperFamily (PIRSF) classification system. Based on the evolutionary relationships of whole proteins, this classification system allows annotation of both specific biological and generic biochemical functions. The system adopts a network structure for protein classification from superfamily to subfamily levels. Protein family members are homologous (sharing common ancestry) and homeomorphic (sharing full-length sequence similarity with common domain architecture). The PIRSF database consists of two data sets, preliminary clusters and curated families. The curated families include family name, protein membership, parent-child relationship, domain architecture, and optional description and bibliography. PIRSF is accessible from the website at http://pir.georgetown.edu/pirsf/ for report retrieval and sequence classification. The report presents family annotation, membership statistics, cross-references to other databases, graphical display of domain architecture, and links to multiple sequence alignments and phylogenetic trees for curated families. PIRSF can be utilized to analyze phylogenetic profiles, to reveal functional convergence and divergence, and to identify interesting relationships between homeomorphic families, domains and structural classes.

Indexed as

Computational BiologyDatabases, ProteinAmino Acid MotifsAnimalsEvolution, MolecularHumansInformation Storage and RetrievalInternetProteinsProtein Structure, TertiaryProteins

Identifiers

PMID14681371
PMCPMC308831
OpenAlexW2161241566

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.