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Mechanism of transmembrane signaling by sensor histidine kinases

descriptionPublicationkeyboard_double_arrow_right Article 09 Jun 2017 France English Publisher:American Association for the Advancement of Science (AAAS)Journal:Science, volume 356 (issn: 0036-8075, eissn: 1095-9203, Copyright policy )
Authors: Ivan Gushchin; Igor Melnikov; Vitaly Polovinkin; Andrii Ishchenko; Anastasia Yuzhakova; Pavel Buslaev; Gleb Bourenkov; +9 Authors
APC: 1,551.75 EUR

doi: 10.1126/science.aah6345

pmid: 28522691

Mechanism of transmembrane signaling by sensor histidine kinases

Abstract

Bacterial sensing mechanism revealed Escherichia coli use a transmembrane sensor protein to sense nitrate in their external environment and initiate a biochemical response. Gushchin et al. compared crystal structures of portions of the NarQ receptor that included the transmembrane helices in ligand-bound or unbound states. The structures suggest a signaling mechanism by which piston- and lever-like movements are transmitted to response regulator proteins within the cell. Such two-component systems are very common in bacteria and, if better understood, might provide targets for antimicrobial therapies. Science , this issue p. eaah6345

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France
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Keywords

Models, Molecular, 570, [PHYS.PHYS.PHYS-BIO-PH] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph], Molecular Biology/Structural Biology [q-bio.BM], [SDV.BBM.BS] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Structural Biology [q-bio.BM], [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph], Escherichia coli Proteins, Protein crystallography, 500, Membrane Proteins, Phosphoproteins, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDV.BBM.BS]Life Sciences [q-bio]/Biochemistry, Protein Domains, Protein structure, Escherichia coli, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Crystallization, Signal Transduction

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 144
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
144
Top 1%
Top 10%
Top 1%
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bronze
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