Evidence map›Paper›PMID 24165881›Full record

ArticleNucleic acids research2014

SIMAP--the database of all-against-all protein sequence similarities and annotations with new interfaces and increased coverage.

Roland Arnold, Florian Goldenberg, Hans-Werner Mewes, Thomas Rattei

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. 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. Article
  2. Article
  3. Article
  4. Protein-Coding Gene Families in Prokaryote Genome Comparisons.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
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  9. Insecticidal Toxicity ofFrontiers in cellular and infection microbiology · 2018
    Article
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  15. Big data and other challenges in the quest for orthologs.Bioinformatics (Oxford, England) · 2014
    Article
  16. Genome sequence of Coxiella burnetii strain Namibia.Standards in genomic sciences · 2014
    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

4 authors.

Roland ArnoldTerrence Donnelly Centre for Cellular and Biomolecular Research, Kim Lab, University of Toronto, Toronto, ON M5S 3E1, Canada, CUBE-Division of Computational Systems Biology, Department of Microbiology and Ecosystem Science, University of Vienna, 1090 Vienna, Austria and Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Technische Universität München, Wissenschaftszentrum Weihenstephan, 85764 Neuherberg, Germany.
Florian Goldenberg
Hans-Werner Mewes
Thomas Rattei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Similarity Matrix of Proteins (SIMAP, http://mips.gsf.de/simap/) database has been designed to massively accelerate computationally expensive protein sequence analysis tasks in bioinformatics. It provides pre-calculated sequence similarities interconnecting the entire known protein sequence universe, complemented by pre-calculated protein features and domains, similarity clusters and functional annotations. SIMAP covers all major public protein databases as well as many consistently re-annotated metagenomes from different repositories. As of September 2013, SIMAP contains >163 million proteins corresponding to ∼70 million non-redundant sequences. SIMAP uses the sensitive FASTA search heuristics, the Smith-Waterman alignment algorithm, the InterPro database of protein domain models and the BLAST2GO functional annotation algorithm. SIMAP assists biologists by facilitating the interactive exploration of the protein sequence universe. Web-Service and DAS interfaces allow connecting SIMAP with any other bioinformatic tool and resource. All-against-all protein sequence similarity matrices of project-specific protein collections are generated on request. Recent improvements allow SIMAP to cover the rapidly growing sequenced protein sequence universe. New Web-Service interfaces enhance the connectivity of SIMAP. Novel tools for interactive extraction of protein similarity networks have been added. Open access to SIMAP is provided through the web portal; the portal also contains instructions and links for software access and flat file downloads.

Indexed as

Databases, ProteinMolecular Sequence AnnotationSequence Analysis, ProteinInternetProtein Structure, TertiarySequence AlignmentUser-Computer Interface

Identifiers

PMID24165881
PMCPMC3965014

What OpenQuestion holds

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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.