Evidence map›Paper›PMID 31182755›Full record

ArticleScientific reports2019

Sequence and structural patterns detected in entangled proteins reveal the importance of co-translational folding.

Marco Baiesi, Enzo Orlandini, Flavio Seno, Antonio Trovato

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Folding kinetics of an entangled protein.PLoS computational biology · 2023
    Article
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  18. Entangled Motifs in Membrane Protein Structures.International journal of molecular sciences · 2023
    Article
  19. AlphaFold predicts novel human proteins with knots.Protein science : a publication of the Protein Society · 2023
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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.

Marco BaiesiDepartment of Physics and Astronomy, University of Padova, Via Marzolo 8, I-35131, Padova, Italy.ORCID http://orcid.org/0000-0002-4513-9191
Enzo OrlandiniDepartment of Physics and Astronomy, University of Padova, Via Marzolo 8, I-35131, Padova, Italy.ORCID http://orcid.org/0000-0003-3680-9488
Flavio SenoDepartment of Physics and Astronomy, University of Padova, Via Marzolo 8, I-35131, Padova, Italy. seno@pd.infn.it.
Antonio TrovatoDepartment of Physics and Astronomy, University of Padova, Via Marzolo 8, I-35131, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins must fold quickly to acquire their biologically functional three-dimensional native structures. Hence, these are mainly stabilized by local contacts, while intricate topologies such as knots are rare. Here, we reveal the existence of specific patterns adopted by protein sequences and structures to deal with backbone self-entanglement. A large scale analysis of the Protein Data Bank shows that loops significantly intertwined with another chain portion are typically closed by weakly bound amino acids. Why is this energetic frustration maintained? A possible picture is that entangled loops are formed only toward the end of the folding process to avoid kinetic traps. Consistently, these loops are more frequently found to be wrapped around a portion of the chain on their N-terminal side, the one translated earlier at the ribosome. Finally, these motifs are less abundant in natural native states than in simulated protein-like structures, yet they appear in 32% of proteins, which in some cases display an amazingly complex intertwining.

Indexed as

Protein BiosynthesisProtein FoldingAmino Acid SequenceDatabases, ProteinModels, MolecularProteinsProteins

Identifiers

PMID31182755
PMCPMC6557820

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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.