Evidence map›Paper›PMID 32637600›Full record

ArticleScience advances2020

A kinase bioscavenger provides antibiotic resistance by extremely tight substrate binding.

Stanislav S Terekhov, Yuliana A Mokrushina, Anton S Nazarov, Alexander Zlobin, Arthur Zalevsky, Gleb Bourenkov, Andrey Golovin, Alexey Belogurov, Ilya A Osterman, Alexandra A Kulikova and 7 more

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Chemical neighborhood exploration for substrate discovery in biocatalysis.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Deep Functional Profiling of Wild Animal Microbiomes Reveals ProbioticInternational journal of molecular sciences · 2022
    Article
  8. Probing the Suitability of Different CaMolecules (Basel, Switzerland) · 2021
    Article
  9. Article
  10. Article
  11. Review
  12. Liquid drop of DNA libraries reveals total genome information.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Selective Eradication ofAntibiotics (Basel, Switzerland) · 2020
    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

17 authors.

Stanislav S TerekhovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0003-2220-0452
Yuliana A MokrushinaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0002-4669-9545
Anton S NazarovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0003-4864-3462
Alexander ZlobinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0001-8627-0455
Arthur ZalevskyShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0001-6987-8119
Gleb BourenkovEuropean Molecular Biology Laboratory, Hamburg, Germany.ORCID 0000-0002-2617-5920
Andrey GolovinShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0003-2243-4902
Alexey BelogurovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.
Ilya A OstermanDepartment of Chemistry, Lomonosov Moscow State University, Moscow, Russia.
Alexandra A KulikovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0002-7751-673X
Vladimir A MitkevichEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0002-1517-1983
Hua Jane LouDepartment of Pharmacology, Yale School of Medicine, New Haven, CT, USA.
Benjamin E TurkDepartment of Pharmacology, Yale School of Medicine, New Haven, CT, USA.
Matthias WilmannsEuropean Molecular Biology Laboratory, Hamburg, Germany.
Ivan V SmirnovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0002-0384-6568
Sidney AltmanDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.ORCID 0000-0001-7287-0337
Alexander G GabibovShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0001-8665-3288

Funding

Modeling human phosphorylation networks through kinome-wide profilingR01GM104047 · NIGMS · YALE UNIVERSITY · PI TURK, BENJAMIN E, YAFFE, MICHAEL B · 2013 to 2017
$2.4M
NIGMS NIH HHS R01 GM104047
6 · The paper itself

Abstract

Microbial communities are self-controlled by repertoires of lethal agents, the antibiotics. In their turn, these antibiotics are regulated by bioscavengers that are selected in the course of evolution. Kinase-mediated phosphorylation represents one of the general strategies for the emergence of antibiotic resistance. A new subfamily of AmiN-like kinases, isolated from the Siberian bear microbiome, inactivates antibiotic amicoumacin by phosphorylation. The nanomolar substrate affinity defines AmiN as a phosphotransferase with a unique catalytic efficiency proximal to the diffusion limit. Crystallographic analysis and multiscale simulations revealed a catalytically perfect mechanism providing phosphorylation exclusively in the case of a closed active site that counteracts substrate promiscuity. AmiN kinase is a member of the previously unknown subfamily representing the first evidence of a specialized phosphotransferase bioscavenger.

Identifiers

PMID32637600
PMCPMC7314540

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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.