Evidence map›Paper›PMID 24214987›Full record

ArticleNucleic acids research2014

UniHI 7: an enhanced database for retrieval and interactive analysis of human molecular interaction networks.

Ravi Kiran Reddy Kalathur, José Pedro Pinto, Miguel A Hernández-Prieto, Rui S R Machado, Dulce Almeida, Gautam Chaurasia, Matthias E Futschik

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
–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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  14. HEDD: Human Enhancer Disease Database.Nucleic acids research · 2018
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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

7 authors.

Ravi Kiran Reddy KalathurCentre for Molecular and Structural Biomedicine, University of Algarve, Faro, Portugal and Institute for Theoretical Biology, Charité, Humboldt-University, Berlin, Germany.
José Pedro Pinto
Miguel A Hernández-Prieto
Rui S R Machado
Dulce Almeida
Gautam Chaurasia
Matthias E Futschik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unified Human Interactome (UniHI) (http://www.unihi.org) is a database for retrieval, analysis and visualization of human molecular interaction networks. Its primary aim is to provide a comprehensive and easy-to-use platform for network-based investigations to a wide community of researchers in biology and medicine. Here, we describe a major update (version 7) of the database previously featured in NAR Database Issue. UniHI 7 currently includes almost 350,000 molecular interactions between genes, proteins and drugs, as well as numerous other types of data such as gene expression and functional annotation. Multiple options for interactive filtering and highlighting of proteins can be employed to obtain more reliable and specific network structures. Expression and other genomic data can be uploaded by the user to examine local network structures. Additional built-in tools enable ready identification of known drug targets, as well as of biological processes, phenotypes and pathways enriched with network proteins. A distinctive feature of UniHI 7 is its user-friendly interface designed to be utilized in an intuitive manner, enabling researchers less acquainted with network analysis to perform state-of-the-art network-based investigations.

Indexed as

Databases, ProteinProtein Interaction MappingDiseaseGene ExpressionGenesGenomicsHumansInternetMolecular Sequence AnnotationPharmaceutical PreparationsPhenotypeProteinsPharmaceutical PreparationsProteins

Identifiers

PMID24214987
PMCPMC3965034

What OpenQuestion holds

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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.