Evidence map›Paper›PMID 15801979›Full record

ArticleBMC bioinformatics2005

Columba: an integrated database of proteins, structures, and annotations.

Silke Trissl, Kristian Rother, Heiko Müller, Thomas Steinke, Ina Koch, Robert Preissner, Cornelius Frömmel, Ulf Leser

Abstract read
In one paragraph

Article in BMC bioinformatics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Variant information systems for precision oncology.BMC medical informatics and decision making · 2018
    Article
  3. An online analytical processing multi-dimensional data warehouse for malaria data.Database : the journal of biological databases and curation · 2017
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Silke TrisslInstitute of Informatics, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany. silke.trissl@informatik.hu-berlin.de
Kristian Rother
Heiko Müller
Thomas Steinke
Ina Koch
Robert Preissner
Cornelius Frömmel
Ulf Leser

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStructural and functional research often requires the computation of sets of protein structures based on certain properties of the proteins, such as sequence features, fold classification, or functional annotation. Compiling such sets using current web resources is tedious because the necessary data are spread over many different databases. To facilitate this task, we have created COLUMBA, an integrated database of annotations of protein structures. DESCRIPTION: COLUMBA currently integrates twelve different databases, including PDB, KEGG, Swiss-Prot, CATH, SCOP, the Gene Ontology, and ENZYME. The database can be searched using either keyword search or data source-specific web forms. Users can thus quickly select and download PDB entries that, for instance, participate in a particular pathway, are classified as containing a certain CATH architecture, are annotated as having a certain molecular function in the Gene Ontology, and whose structures have a resolution under a defined threshold. The results of queries are provided in both machine-readable extensible markup language and human-readable format. The structures themselves can be viewed interactively on the web.

conclusionThe COLUMBA database facilitates the creation of protein structure data sets for many structure-based studies. It allows to combine queries on a number of structure-related databases not covered by other projects at present. Thus, information on both many and few protein structures can be used efficiently. The web interface for COLUMBA is available at http://www.columba-db.de.

Indexed as

Databases, ProteinBase SequenceComputational BiologyDatabase Management SystemsDatabases, FactualHumansInformation Storage and RetrievalInternetNatural Language ProcessingProgramming LanguagesProteinsProteomicsSequence Analysis, ProteinSoftwareSystems IntegrationUser-Computer InterfaceProteins

Identifiers

PMID15801979
PMCPMC1087474

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Registered trials

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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.