Evidence map›Paper›PMID 22270457›Full record

ArticleJournal of structural and functional genomics2012

KB-Rank: efficient protein structure and functional annotation identification via text query.

Elchin S Julfayev, Ryan J McLaughlin, Yi-Ping Tao, William A McLaughlin

Abstract read
In one paragraph

Article in Journal of structural and functional genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Protein structure annotation resources.Methods in molecular biology (Clifton, N.J.) · 2015
    Review
  3. Review
  4. Creating a community resource for protein science.Protein science : a publication of the Protein Society · 2012
    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.

Elchin S JulfayevDepartment of Basic Science, The Commonwealth Medical College, Scranton, PA 18509, USA.
Ryan J McLaughlin
Yi-Ping Tao
William A McLaughlin

Funding

The Protein Structure Inittiative KnowledgebaseU01GM093324 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI BERMAN, HELEN M · 2010 to 2015
$12.9M
NIGMS NIH HHS 5U01 GM093324-02NIGMS NIH HHS U01 GM093324
6 · The paper itself

Abstract

The KB-Rank tool was developed to help determine the functions of proteins. A user provides text query and protein structures are retrieved together with their functional annotation categories. Structures and annotation categories are ranked according to their estimated relevance to the queried text. The algorithm for ranking first retrieves matches between the query text and the text fields associated with the structures. The structures are next ordered by their relative content of annotations that are found to be prevalent across all the structures retrieved. An interactive web interface was implemented to navigate and interpret the relevance of the structures and annotation categories retrieved by a given search. The aim of the KB-Rank tool is to provide a means to quickly identify protein structures of interest and the annotations most relevant to the queries posed by a user. Informational and navigational searches regarding disease topics are described to illustrate the tool's utilities. The tool is available at the URL http://protein.tcmedc.org/KB-Rank.

Indexed as

Databases, ProteinProtein ConformationSoftwareAlgorithmsAnimalsComputational BiologyHumansInternetModels, MolecularMolecular Sequence AnnotationProteinsSearch EngineSequence Analysis, ProteinStructure-Activity RelationshipProteins

Identifiers

PMID22270457
PMCPMC3375009

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.