Evidence map›Paper›PMID 27794552›Full record

ArticleNucleic acids research2017

LinkProt: a database collecting information about biological links.

Pawel Dabrowski-Tumanski, Aleksandra I Jarmolinska, Wanda Niemyska, Eric J Rawdon, Kenneth C Millett, Joanna I Sulkowska

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Tangled Tail of Mechanically Interlocked Peptides.Journal of the American Chemical Society · 2026
    Review
  3. Article
  4. Article
  5. Theta-curves in proteins.Protein science : a publication of the Protein Society · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genus for biomolecules.Nucleic acids research · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Topological knots and links in proteins.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

6 authors.

Pawel Dabrowski-TumanskiFaculty of Chemistry, University of Warsaw, Pasteura 1, 02-093, Warsaw, Poland.ORCID 0000-0001-9412-1716
Aleksandra I JarmolinskaCentre of New Technologies, University of Warsaw, Banacha 2c, 02-097, Warsaw, Poland.
Wanda NiemyskaCentre of New Technologies, University of Warsaw, Banacha 2c, 02-097, Warsaw, Poland.
Eric J RawdonDepartment of Mathematics, University of St. Thomas, Saint Paul, MN 55105, USA.
Kenneth C MillettDepartment of Mathematics, University of California, Santa Barbara, CA 93106, USA.
Joanna I SulkowskaFaculty of Chemistry, University of Warsaw, Pasteura 1, 02-093, Warsaw, Poland jsulkowska@chem.uw.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein chains are known to fold into topologically complex shapes, such as knots, slipknots or complex lassos. This complex topology of the chain can be considered as an additional feature of a protein, separate from secondary and tertiary structures. Moreover, the complex topology can be defined also as one additional structural level. The LinkProt database (http://linkprot.cent.uw.edu.pl) collects and displays information about protein links - topologically non-trivial structures made by up to four chains and complexes of chains (e.g. in capsids). The database presents deterministic links (with loops closed, e.g. by two disulfide bonds), links formed probabilistically and macromolecular links. The structures are classified according to their topology and presented using the minimal surface area method. The database is also equipped with basic tools which allow users to analyze the topology of arbitrary (bio)polymers.

Indexed as

Databases, ProteinSoftwareBiopolymersComputational BiologyStructure-Activity RelationshipWeb BrowserBiopolymers

Identifiers

PMID27794552
PMCPMC5210653

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.