Evidence map›Paper›PMID 31005237›Full record

ArticleBiophysical journal2019

A Crucial Role for Side-Chain Conformation in the Versatile Charge Selectivity of Cys-Loop Receptors.

Tyler J Harpole, Claudio Grosman

Abstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Tyler J HarpoleCenter for Biophysics and Quantitative Biology, Urbana, Illinois.
Claudio GrosmanCenter for Biophysics and Quantitative Biology, Urbana, Illinois; Department of Molecular and Integrative Physiology, Urbana, Illinois; Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois. Electronic address: grosman@illinois.edu.

Funding

Mechanisms of Neurotransmitter-Gated Ion ChannelsR01NS042169 · NINDS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI GROSMAN, CLAUDIO F · 2003 to 2022
$6.6M
INSTITUTIONAL NRSA IN MOLECULAR BIOPHYSICST32GM008276 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI GROSMAN, CLAUDIO F · 1988 to 2013
$4.8M
NIGMS NIH HHS T32 GM008276NINDS NIH HHS R01 NS042169
6 · The paper itself

Abstract

Whether synaptic transmission is excitatory or inhibitory depends, to a large extent, on whether the ion channels that open upon binding the released neurotransmitter conduct cations or anions. The mechanistic basis of the opposite charge selectivities of Cys-loop receptors has only recently begun to emerge. It is now clear that ionized side chains-whether pore-facing or buried-in the first α-helical turn of the second transmembrane segments underlie this phenomenon and that the electrostatics of backbone atoms are not critically involved. Moreover, on the basis of electrophysiological observations, it has recently been suggested that not only the sign of charged side chains but also their conformation are crucial determinants of cation-anion selectivity. To challenge these ideas with the chemical and structural rigor that electrophysiological observations naturally lack, we performed molecular dynamics, Brownian dynamics, and electrostatics calculations of ion permeation. To this end, we used structural models of the open-channel conformation of the α1 glutamate-gated Cl

Indexed as

Amino Acid SequenceAnimalsCysteine Loop Ligand-Gated Ion Channel ReceptorsGlutamic AcidHumansMolecular Dynamics SimulationProtein ConformationCysteine Loop Ligand-Gated Ion Channel ReceptorsGlutamic Acid

Identifiers

PMID31005237
PMCPMC6506641

What OpenQuestion holds

Textmetadata
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.