Evidence map›Paper›PMID 22102591›Full record

ArticleNucleic acids research2012

IBIS (Inferred Biomolecular Interaction Server) reports, predicts and integrates multiple types of conserved interactions for proteins.

Benjamin A Shoemaker, Dachuan Zhang, Manoj Tyagi, Ratna R Thangudu, Jessica H Fong, Aron Marchler-Bauer, Stephen H Bryant, Thomas Madej, Anna R Panchenko

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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  17. Computational Approaches to Prioritize Cancer Driver Missense Mutations.International journal of molecular sciences · 2018
    Review
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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

9 authors.

Benjamin A ShoemakerNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Building 38A, Bethesda, MD 20894, USA.
Dachuan Zhang
Manoj Tyagi
Ratna R Thangudu
Jessica H Fong
Aron Marchler-Bauer
Stephen H Bryant
Thomas Madej
Anna R Panchenko

Funding

Structural Biology Information ResourcesZIALM000046 · NLM · NATIONAL LIBRARY OF MEDICINE · PI BRYANT, STEPHEN H · 2009 to 2017
$45.4M
Intramural NIH HHS
6 · The paper itself

Abstract

We have recently developed the Inferred Biomolecular Interaction Server (IBIS) and database, which reports, predicts and integrates different types of interaction partners and locations of binding sites in proteins based on the analysis of homologous structural complexes. Here, we highlight several new IBIS features and options. The server's webpage is now redesigned to allow users easier access to data for different interaction types. An entry page is added to give a quick summary of available results and to now accept protein sequence accessions. To elucidate the formation of protein complexes, not just binary interactions, IBIS currently presents an expandable interaction network. Previously, IBIS provided annotations for four different types of binding partners: proteins, small molecules, nucleic acids and peptides; in the current version a new protein-ion interaction type has been added. Several options provide easy downloads of IBIS data for all Protein Data Bank (PDB) protein chains and the results for each query. In this study, we show that about one-third of all RefSeq sequences can be annotated with IBIS interaction partners and binding sites. The IBIS server is available at http://www.ncbi.nlm.nih.gov/Structure/ibis/ibis.cgi and updated biweekly.

Indexed as

Databases, ProteinProtein Interaction MappingBinding SitesComputer GraphicsIonsMolecular Sequence AnnotationMultiprotein ComplexesNucleic AcidsPeptidesProteinsSequence Analysis, ProteinSystems IntegrationUser-Computer InterfaceIonsMultiprotein ComplexesNucleic AcidsPeptidesProteins

Identifiers

PMID22102591
PMCPMC3245142

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.