Evidence map›Paper›PMID 34945953›Full record

ArticleEntropy (Basel, Switzerland)2021

Entropy Analysis of Protein Sequences Reveals a Hierarchical Organization.

Anastasia A Anashkina, Irina Yu Petrushanko, Rustam H Ziganshin, Yuriy L Orlov, Alexei N Nekrasov

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Frontiers in veterinary science · 2022
    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

5 authors.

Anastasia A AnashkinaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilov St. 32, 119991 Moscow, Russia.ORCID 0000-0003-1763-300X
Irina Yu PetrushankoEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilov St. 32, 119991 Moscow, Russia.ORCID 0000-0003-0787-415X
Rustam H ZiganshinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, The Russian Academy of Sciences, Miklukho-Maklaya St. 16/10, 117997 Moscow, Russia.
Yuriy L OrlovThe Digital Health Institute, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Trubetskaya 8-2, 119991 Moscow, Russia.ORCID 0000-0003-0587-1609
Alexei N NekrasovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, The Russian Academy of Sciences, Miklukho-Maklaya St. 16/10, 117997 Moscow, Russia.

Funding

Russian Foundation for Basic Research 20-04-01085Russian Science Foundation 19-14-00374
6 · The paper itself

Abstract

backgroundAnalyzing the local sequence content in proteins, earlier we found that amino acid residue frequencies differ on various distances between amino acid positions in the sequence, assuming the existence of structural units.

methodsWe used informational entropy of protein sequences to find that the structural unit of proteins is a block of adjacent amino acid residues-"information unit". The ANIS (ANalysis of Informational Structure) method uses these information units for revealing hierarchically organized Elements of the Information Structure (ELIS) in amino acid sequences.

resultsThe developed mathematical apparatus gives stable results on the structural unit description even with a significant variation in the parameters. The optimal length of the information unit is five, and the number of allowed substitutions is one. Examples of the application of the method for the design of protein molecules, intermolecular interactions analysis, and the study of the mechanisms of functioning of protein molecular machines are given.

conclusionsANIS method makes it possible not only to analyze native proteins but also to design artificial polypeptide chains with a given spatial organization and, possibly, function.

Indexed as

ANIS methodcarboxypeptidasefoldonhem-containing proteinshierarchyHSP70hydrolasesinformational structureinterleukin 13oligopeptidase Bperoxiredoxinprotein designprotein sequencesprotein structureTNF

Identifiers

PMID34945953
PMCPMC8700119

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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.