Evidence map›Paper›PMID 29884956›Full record

ArticleThe European physical journal. E, Soft matter2018

KymoKnot: A web server and software package to identify and locate knots in trajectories of linear or circular polymers.

Luca Tubiana, Guido Polles, Enzo Orlandini, Cristian Micheletti

Abstract read
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In one paragraph

Article in The European physical journal. E, Soft matter, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  5. Is There a Functional Role for the Knotted Topology in Protein UCH-L1?Journal of chemical information and modeling · 2024
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  16. Topical Issue on Dielectric Spectroscopy Applied to Soft Matter.The European physical journal. E, Soft matter · 2020
    Article
  17. Article
  18. Topical Issue on Advances in Computational Methods for Soft Matter Systems.The European physical journal. E, Soft matter · 2018
    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.

Luca TubianaComputational Physics Department, University of Vienna, Sensengasse 8/10, 1090, Vienna, Austria. luca.tubiana@univie.ac.at.
Guido PollesMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, 90089, Los Angeles, CA, USA.
Enzo OrlandiniDipartimento di Fisica e Astronomia and Sezione INFN, Università di Padova, Via Marzolo 8, 35131, Padova, Italy.
Cristian MichelettiSISSA, International School for Advanced Studies, Via Bonomea 265, I-34136, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The KymoKnot software package and web server identifies and locates physical knots or proper knots in a series of polymer conformations. It is mainly intended as an analysis tool for trajectories of linear or circular polymers, but it can be used on single instances too, e.g. protein structures in PDB format. A key element of the software package is the so-called minimally interfering chain closure algorithm that is used to detect physical knots in open chains and to locate the knotted region in both open and closed chains. The web server offers a user-friendly graphical interface that identifies the knot type and highlights the knotted region on each frame of the trajectory, which the user can visualize interactively from various viewpoints. The dynamical evolution of the knotted region along the chain contour is presented as a kymograph. All data can be downloaded in text format. The KymoKnot package is licensed under the BSD 3-Clause licence. The server is publicly available at http://kymoknot.sissa.it/kymoknot/interactive.php .

Indexed as

Topical issue: Advances in Computational Methods for Soft Matter Systems

Identifiers

What OpenQuestion holds

Textmetadata
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.