Evidence map›Paper›PMID 36835565›Full record

ReviewInternational journal of molecular sciences2023

The Knowns and Unknowns in Protein-Metabolite Interactions.

Ilya Kurbatov, Georgii Dolgalev, Viktoriia Arzumanian, Olga Kiseleva, Ekaterina Poverennaya

Abstract readReview
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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Ilya KurbatovInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Georgii DolgalevInstitute of Biomedical Chemistry, Moscow 119121, Russia.ORCID 0000-0002-7854-6279
Viktoriia ArzumanianInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Olga KiselevaInstitute of Biomedical Chemistry, Moscow 119121, Russia.ORCID 0000-0003-3032-1983
Ekaterina PoverennayaInstitute of Biomedical Chemistry, Moscow 119121, Russia.ORCID 0000-0003-1838-3604

Funding

Program for Basic Research in the Russian Federation No. 122030100168-2
6 · The paper itself

Abstract

Increasing attention has been focused on the study of protein-metabolite interactions (PMI), which play a key role in regulating protein functions and directing an orchestra of cellular processes. The investigation of PMIs is complicated by the fact that many such interactions are extremely short-lived, which requires very high resolution in order to detect them. As in the case of protein-protein interactions, protein-metabolite interactions are still not clearly defined. Existing assays for detecting protein-metabolite interactions have an additional limitation in the form of a limited capacity to identify interacting metabolites. Thus, although recent advances in mass spectrometry allow the routine identification and quantification of thousands of proteins and metabolites today, they still need to be improved to provide a complete inventory of biological molecules, as well as all interactions between them. Multiomic studies aimed at deciphering the implementation of genetic information often end with the analysis of changes in metabolic pathways, as they constitute one of the most informative phenotypic layers. In this approach, the quantity and quality of knowledge about PMIs become vital to establishing the full scope of crosstalk between the proteome and the metabolome in a biological object of interest. In this review, we analyze the current state of investigation into the detection and annotation of protein-metabolite interactions, describe the recent progress in developing associated research methods, and attempt to deconstruct the very term "interaction" to advance the field of interactomics further.

Indexed as

MetabolomicsProteomicsMetabolic Networks and PathwaysMetabolomeProteomeProteomeinteractomicsmacromolecular assemblymetabolomicsprotein–metabolite interactionsproteomics

Identifiers

PMID36835565
PMCPMC9964805

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Registered trials

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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.