Evidence map›Paper›PMID 24359743›Full record

ArticleBiophysical journal2013

Exploring the pH-dependent substrate transport mechanism of FocA using molecular dynamics simulation.

Xiaoying Lv, Huihui Liu, Meng Ke, Haipeng Gong

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2013. 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
0.7field-weighted citation impact, top 28% of its field
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, 29 citations in OpenAlex.

  1. Review
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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

4 authors at 1 institution in 1 country.

Xiaoying LvMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Huihui LiuMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Meng KeMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Haipeng GongMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China. Electronic address: hgong@tsinghua.edu.cn.
Tsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FocA belongs to the formate-nitrate transporter family and plays an essential role in the export and uptake of formate in organisms. According to the available crystal structures, the N-terminal residues of FocA are structurally featureless at physiological conditions but at reduced pH form helices to harbor the cytoplasmic entrance of the substrate permeation pathway, which apparently explains the cessation of electrical signal observed in electrophysiological experiments. In this work, we found by structural analysis and molecular dynamics simulations that those N-terminal helices cannot effectively preclude the substrate permeation. Equilibrium simulations and thermodynamic calculations suggest that FocA is permeable to both formate and formic acid, the latter of which is transparent to electrophysiological studies as an electrically neutral species. Hence, the cease of electrical current at acidic pH may be caused by the change of the transported substrate from formate to formic acid. In addition, the mechanism of formate export at physiological pH is discussed.

Indexed as

Molecular Dynamics SimulationAmino Acid SequenceBiological TransportEscherichia coliEscherichia coli ProteinsFormatesHydrogen-Ion ConcentrationMembrane Transport ProteinsMolecular Sequence DataEscherichia coli ProteinsFocA protein, E coliFormatesformic acidMembrane Transport Proteins

Identifiers

PMID24359743
PMCPMC3882453
OpenAlexW2093602334

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.