Evidence map›Paper›PMID 23143269›Full record

ArticleNucleic acids research2013

SynSysNet: integration of experimental data on synaptic protein-protein interactions with drug-target relations.

Joachim von Eichborn, Mathias Dunkel, Björn O Gohlke, Sarah C Preissner, Michael F Hoffmann, Jakob M J Bauer, J D Armstrong, Martin H Schaefer, Miguel A Andrade-Navarro, Nicolas Le Novere and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  14. Transgenic rhesus monkeys carrying the humanNational science review · 2019
    Article
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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

15 authors.

Joachim von EichbornStructural Bioinformatics Group, Institute of Physiology, Charité-University Medicine Berlin, Lindenberger Weg 80, 13125 Berlin, Germany.
Mathias Dunkel
Björn O Gohlke
Sarah C Preissner
Michael F Hoffmann
Jakob M J Bauer
J D Armstrong
Martin H Schaefer
Miguel A Andrade-Navarro
Nicolas Le Novere
Michael D R Croning
Seth G N Grant
Pim van Nierop
August B Smit
Robert Preissner

Funding

Biotechnology and Biological Sciences Research Council BBS/E/B/000C0419
6 · The paper itself

Abstract

We created SynSysNet, available online at http://bioinformatics.charite.de/synsysnet, to provide a platform that creates a comprehensive 4D network of synaptic interactions. Neuronal synapses are fundamental structures linking nerve cells in the brain and they are responsible for neuronal communication and information processing. These processes are dynamically regulated by a network of proteins. New developments in interaction proteomics and yeast two-hybrid methods allow unbiased detection of interactors. The consolidation of data from different resources and methods is important to understand the relation to human behaviour and disease and to identify new therapeutic approaches. To this end, we established SynSysNet from a set of ∼1000 synapse specific proteins, their structures and small-molecule interactions. For two-thirds of these, 3D structures are provided (from Protein Data Bank and homology modelling). Drug-target interactions for 750 approved drugs and 50 000 compounds, as well as 5000 experimentally validated protein-protein interactions, are included. The resulting interaction network and user-selected parts can be viewed interactively and exported in XGMML. Approximately 200 involved pathways can be explored regarding drug-target interactions. Homology-modelled structures are downloadable in Protein Data Bank format, and drugs are available as MOL-files. Protein-protein interactions and drug-target interactions can be viewed as networks; corresponding PubMed IDs or sources are given.

Indexed as

Databases, ProteinProtein Interaction MappingHumansInternetNerve Tissue ProteinsProtein ConformationSynapsesUser-Computer InterfaceNerve Tissue Proteins

Identifiers

PMID23143269
PMCPMC3531074

What OpenQuestion holds

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LicenceCC BY-NC
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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.