Evidence map›Paper›PMID 27055828›Full record

ArticleDatabase : the journal of biological databases and curation2016

The drug-minded protein interaction database (DrumPID) for efficient target analysis and drug development.

Meik Kunz, Chunguang Liang, Santosh Nilla, Alexander Cecil, Thomas Dandekar

Open access · goldAbstract read
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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Identification of Antifungal Targets Based on Computer Modeling.Journal of fungi (Basel, Switzerland) · 2018
    Review
  6. Article
  7. Review
  8. Mining biomedical images towards valuable information retrieval in biomedical and life sciences.Database : the journal of biological databases and curation · 2016
    Review
  9. 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

5 authors at 2 institutions in 1 country.

Meik KunzFunctional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany.
Chunguang LiangFunctional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany.
Santosh NillaFunctional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany Present address: Wagnerstrasse 15 97080 Wuerzburg, Germany.
Alexander CecilFunctional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany Bioinformatics & Biostatistics, Helmholtz Center Munich, Institute of Experimental Genetics, Genome Analysis Center, Ingolstaedter Landstrasse 1, 85764 Neuherberg dandekar@biozentrum.uni-wuerzburg.de alexander.cecil@helmholtz-muenchen.de.
Thomas DandekarFunctional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany dandekar@biozentrum.uni-wuerzburg.de alexander.cecil@helmholtz-muenchen.de.
Helmholtz Zentrum München · DEMVZ Labor Ravensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The drug-minded protein interaction database (DrumPID) has been designed to provide fast, tailored information on drugs and their protein networks including indications, protein targets and side-targets. Starting queries include compound, target and protein interactions and organism-specific protein families. Furthermore, drug name, chemical structures and their SMILES notation, affected proteins (potential drug targets), organisms as well as diseases can be queried including various combinations and refinement of searches. Drugs and protein interactions are analyzed in detail with reference to protein structures and catalytic domains, related compound structures as well as potential targets in other organisms. DrumPID considers drug functionality, compound similarity, target structure, interactome analysis and organismic range for a compound, useful for drug development, predicting drug side-effects and structure-activity relationships.Database URL:http://drumpid.bioapps.biozentrum.uni-wuerzburg.de.

Indexed as

Databases, PharmaceuticalDatabases, ProteinAnimalsDatabase Management SystemsDrug DiscoveryHumansInternetPharmaceutical PreparationsProtein DomainsProteinsUser-Computer InterfacePharmaceutical PreparationsProteins

Identifiers

PMID27055828
PMCPMC4823820
OpenAlexW2314573139

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.