Evidence map›Paper›PMID 21772260›Full record

ArticleMolecular systems biology2011

Retrieval, alignment, and clustering of computational models based on semantic annotations.

Marvin Schulz, Falko Krause, Nicolas Le Novère, Edda Klipp, Wolfram Liebermeister

Abstract read
In one paragraph

Article in Molecular systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. An automated model annotation system (AMAS) for SBML models.Bioinformatics (Oxford, England) · 2023
    Article
  2. Article
  3. Article
  4. Review
  5. Notions of similarity for systems biology models.Briefings in bioinformatics · 2018
    Article
  6. Identifying frequent patterns in biochemical reaction networks: a workflow.Database : the journal of biological databases and curation · 2018
    Article
  7. Article
  8. Article
  9. BioModels: Content, Features, Functionality, and Use.CPT: pharmacometrics & systems pharmacology · 2015
    Article
  10. Combining computational models, semantic annotations and simulation experiments in a graph database.Database : the journal of biological databases and curation · 2015
    Article
  11. Article
  12. Improving collaboration by standardization efforts in systems biology.Frontiers in bioengineering and biotechnology · 2014
    Review
  13. Article
  14. Article
  15. Article
  16. 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.

Marvin SchulzInstitut für Biologie, Theoretische Biophysik, Humboldt-Universität zu Berlin, Invalidenstrasse 42, Berlin, Germany.
Falko Krause
Nicolas Le Novère
Edda Klipp
Wolfram Liebermeister

Funding

Biotechnology and Biological Sciences Research Council BB/E006248/1Biotechnology and Biological Sciences Research Council BB/F010516/1
6 · The paper itself

Abstract

The exploding number of computational models produced by Systems Biologists over the last years is an invitation to structure and exploit this new wealth of information. Researchers would like to trace models relevant to specific scientific questions, to explore their biological content, to align and combine them, and to match them with experimental data. To automate these processes, it is essential to consider semantic annotations, which describe their biological meaning. As a prerequisite for a wide range of computational methods, we propose general and flexible similarity measures for Systems Biology models computed from semantic annotations. By using these measures and a large extensible ontology, we implement a platform that can retrieve, cluster, and align Systems Biology models and experimental data sets. At present, its major application is the search for relevant models in the BioModels Database, starting from initial models, data sets, or lists of biological concepts. Beyond similarity searches, the representation of models by semantic feature vectors may pave the way for visualisation, exploration, and statistical analysis of large collections of models and corresponding data.

Indexed as

Computer SimulationSemanticsAlgorithmsCluster AnalysisDatabase Management SystemsDatabases, FactualInformation Storage and RetrievalModels, BiologicalNatural Language ProcessingSequence AlignmentSystems Biology

Identifiers

PMID21772260
PMCPMC3159965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.