Evidence map›Paper›PMID 34833285›Full record

ArticlePolymers2021

Lasso Proteins-Unifying Cysteine Knots and Miniproteins.

Bartosz Ambroży Greń, Pawel Dabrowski-Tumanski, Wanda Niemyska, Joanna Ida Sulkowska

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Tangled Tail of Mechanically Interlocked Peptides.Journal of the American Chemical Society · 2026
    Review
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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 at 1 institution in 1 country.

Bartosz Ambroży GreńCentre of New Technologies, University of Warsaw, 02-097 Warsaw, Poland.ORCID 0000-0001-9971-6807
Pawel Dabrowski-TumanskiCentre of New Technologies, University of Warsaw, 02-097 Warsaw, Poland.ORCID 0000-0001-9412-1716
Wanda NiemyskaFaculty of Mathematics, Informatics and Mechanics, University of Warsaw, 02-097 Warsaw, Poland.ORCID 0000-0003-4167-1807
Joanna Ida SulkowskaCentre of New Technologies, University of Warsaw, 02-097 Warsaw, Poland.ORCID 0000-0003-2452-0724
University of Warsaw · PL

Funding

EMBO Installation #2057MNiSW, Idea Plus 0003/ID3/2016/64
6 · The paper itself

Abstract

Complex lasso proteins are a recently identified class of biological compounds that are present in considerable fraction of proteins with disulfide bridges. In this work, we look at complex lasso proteins as a generalization of well-known cysteine knots and miniproteins (lasso peptides). In particular, we show that complex lasso proteins with the same crucial topological features-cysteine knots and lasso peptides-are antimicrobial proteins, which suggests that they act as a molecular plug. Based on an analysis of the stability of the lasso piercing residue, we also introduce a method to determine which lasso motif is potentially functional. Using this method, we show that the lasso motif in antimicrobial proteins, as well in that in cytokines, is functionally relevant. We also study the evolution of lasso motifs, their conservation, and the usefulness of the lasso fingerprint, which extracts all topologically non-triviality concerning covalent loops. The work is completed by the presentation of extensive statistics on complex lasso proteins to analyze, in particular, the strange propensity for "negative" piercings. We also identify 21 previously unknown complex lasso proteins with an ester and a thioester bridge.

Indexed as

lassoproteinstopology

Identifiers

PMID34833285
PMCPMC8621785
OpenAlexW3211933918

What OpenQuestion holds

Textmetadata
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.