Evidence map›Paper›PMID 27694207›Full record

ArticleDatabase : the journal of biological databases and curation2016

3DFlu: database of sequence and structural variability of the influenza hemagglutinin at population scale.

Giovanni Mazzocco, Michal Lazniewski, Piotr Migdał, Teresa Szczepińska, Jan P Radomski, Dariusz Plewczynski

Open access · goldAbstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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  5. Review
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

6 authors at 1 institution in 1 country.

Giovanni MazzoccoCentre of New Technologies, University of Warsaw, Warsaw, Poland Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland.
Michal LazniewskiCentre of New Technologies, University of Warsaw, Warsaw, Poland Department of Physical Chemistry, Faculty of Pharmacy, Medical University of Warsaw, Warsaw, Poland.
Piotr MigdałCentre of New Technologies, University of Warsaw, Warsaw, Poland.
Teresa SzczepińskaCentre of New Technologies, University of Warsaw, Warsaw, Poland.
Jan P RadomskiInterdisciplinary Centre for Mathematical and Computational Modeling, University of Warsaw, Warsaw, Poland.
Dariusz PlewczynskiCentre of New Technologies, University of Warsaw, Warsaw, Poland Faculty of Pharmacy, Medical University of Warsaw, Warsaw, Poland d.plewczynski@cent.uw.edu.pl.
University of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influenza virus type A (IVA) is an important pathogen which is able to cause annual epidemics and even pandemics. This fact is the consequence of the antigenic shifts and drifts capabilities of IVA, caused by the high mutation rate and the reassortment capabilities of the virus. The hemagglutinin (HA) protein constitutes the main IVA antigen and has a crucial role in the infection mechanism, being responsible for the recognition of host-specific sialic acid derivatives. Despite the relative abundance of HA sequence and serological studies, comparative structure-based analysis of HA are less investigated. The 3DFlu database contains well annotated HA representatives: 1192 models and 263 crystallographic structures. The relations between these proteins are defined using different metrics and are visualized as a network in the provided web interface. Moreover structural and sequence comparison of the proteins can be explored. Metadata information (e.g. protein identifier, IVA strain, year and location of infection) can enhance the exploration of the presented data. With our database researchers gain a useful tool for the exploration of high quality HA models, viewing and comparing changes in the HA viral subtypes at several information levels (sequence, structure, ESP). The complete and integrated view of those relations might be useful to determine the efficiency of transmission, pathogenicity and for the investigation of evolutionary tendencies of the influenza virus.Database URL: http://nucleus3d.cent.uw.edu.pl/influenza.

Indexed as

Databases, ProteinEvolution, MolecularHemagglutinin Glycoproteins, Influenza VirusInfluenza A virusModels, MolecularHumansMetadataProtein DomainsSequence Analysis, ProteinHemagglutinin Glycoproteins, Influenza Virus

Identifiers

PMID27694207
PMCPMC5045858
OpenAlexW2529046191

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.