Evidence map›Paper›PMID 34361104›Full record

ArticleInternational journal of molecular sciences2021

Hierarchical Structure of Protein Sequence.

Alexei N Nekrasov, Yuri P Kozmin, Sergey V Kozyrev, Rustam H Ziganshin, Alexandre G de Brevern, Anastasia A Anashkina

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Protein Structure Prediction Methods.Advances in experimental medicine and biology · 2026
    Review
  2. Review
  3. Recent Trends in Cancer Genomics and Bioinformatics Tools Development.International journal of molecular sciences · 2021
    Article
  4. 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.

Alexei N NekrasovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, The Russian Academy of Sciences, Miklukho-Maklaya St. 16/10, 117997 Moscow, Russia.
Yuri P KozminShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, The Russian Academy of Sciences, Miklukho-Maklaya St. 16/10, 117997 Moscow, Russia.ORCID 0000-0002-4217-483X
Sergey V KozyrevSteklov Mathematical Institute and of Russian Academy of Sciences, 8 Gubkina St., 119991 Moscow, Russia.
Rustam H ZiganshinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, The Russian Academy of Sciences, Miklukho-Maklaya St. 16/10, 117997 Moscow, Russia.
Alexandre G de BrevernINSERM UMR S-1134, DSIMB, Univ. Paris, INTS, Lab. of Excellence GR-Ex 6, rue Alexandre Cabanel, CEDEX 15, 75739 Paris, France.ORCID 0000-0001-7112-5626
Anastasia A AnashkinaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilov St. 32, 119991 Moscow, Russia.ORCID 0000-0003-1763-300X

Funding

Agence Nationale de la Recherche ANR-19-CE17-0021Indo-French Centre for the Promotion of Advanced Research / CEFIPRA 5302-2Russian Foundation for Basic Research 20-04-01085
6 · The paper itself

Abstract

Most non-communicable diseases are associated with dysfunction of proteins or protein complexes. The relationship between sequence and structure has been analyzed for a long time, and the analysis of the sequences organization in domains and motifs remains an actual research area. Here, we propose a mathematical method for revealing the hierarchical organization of protein sequences. The method is based on the pentapeptide as a unit of protein sequences. Employing the frequency of occurrence of pentapeptides in sequences of natural proteins and a special mathematical approach, this method revealed a hierarchical structure in the protein sequence. The method was applied to 24,647 non-homologous protein sequences with sizes ranging from 50 to 400 residues from the NRDB90 database. Statistical analysis of the branching points of the graphs revealed 11 characteristic values of y (the width of the inscribed function), showing the relationship of these multiple fragments of the sequences. Several examples illustrate how fragments of the protein spatial structure correspond to the elements of the hierarchical structure of the protein sequence. This methodology provides a promising basis for a mathematically-based classification of the elements of the spatial organization of proteins. Elements of the hierarchical structure of different levels of the hierarchy can be used to solve biotechnological and medical problems.

Indexed as

AlgorithmsDatabases, ProteinProtein ConformationHumansModels, MolecularProteinsProteinsANIS methodhierarchyprotein sequenceprotein structuresuper secondary structure

Identifiers

PMID34361104
PMCPMC8348890

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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.