Evidence map›Paper›PMID 36768195›Full record

ReviewInternational journal of molecular sciences2023

Analysis of Single Biomacromolecules and Viruses: Is It a Myth or Reality?

Tatyana O Pleshakova, Yuri D Ivanov, Anastasia A Valueva, Victoria V Shumyantseva, Ekaterina V Ilgisonis, Elena A Ponomarenko, Andrey V Lisitsa, Vladimir P Chekhonin, Alexander I Archakov

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of molecular sciences, 2023. 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
–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

3 citing papers in PubMed.

  1. Review
  2. From Proteomics to the Analysis of Single Protein Molecules.International journal of molecular sciences · 2024
    Article
  3. 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

9 authors.

Tatyana O PleshakovaInstitute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.
Yuri D IvanovInstitute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.ORCID 0000-0001-5041-1914
Anastasia A ValuevaInstitute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.
Victoria V ShumyantsevaInstitute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.ORCID 0000-0002-1509-7218
Ekaterina V IlgisonisInstitute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.
Elena A PonomarenkoInstitute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.
Andrey V LisitsaInstitute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.
Vladimir P ChekhoninInstitute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.
Alexander I ArchakovInstitute of Biomedical Chemistry, 10, Pogodinskaya St., 119121 Moscow, Russia.

Funding

The Ministry of Education and Science of the Russian Federation 075-15-2021-933
6 · The paper itself

Abstract

The beginning of the twenty-first century witnessed novel breakthrough research directions in the life sciences, such as genomics, transcriptomics, translatomics, proteomics, metabolomics, and bioinformatics. A newly developed single-molecule approach addresses the physical and chemical properties and the functional activity of single (individual) biomacromolecules and viral particles. Within the alternative approach, the combination of "single-molecule approaches" is opposed to "omics approaches". This new approach is fundamentally unique in terms of its research object (a single biomacromolecule). Most studies are currently performed using postgenomic technologies that allow the properties of several hundreds of millions or even billions of biomacromolecules to be analyzed. This paper discusses the relevance and theoretical, methodological, and practical issues related to the development potential of a single-molecule approach using methods based on molecular detectors.

Indexed as

GenomicsVirusesComputational BiologyMetabolomicsProteomicsatomic force microscopymolecular sensorsnanopore sensornanowire sensorreverse Avogadro’s numbersingle biomacromolecule

Identifiers

PMID36768195
PMCPMC9915366

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.