Evidence map›Paper›PMID 24314090›Full record

ArticleBiophysical journal2013

The role of semidisorder in temperature adaptation of bacterial FlgM proteins.

Jihua Wang, Yuedong Yang, Zanxia Cao, Zhixiu Li, Huiying Zhao, Yaoqi Zhou

Abstract 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 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. 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

6 authors.

Jihua WangShandong Provincial Key Laboratory of Functional Macromolecular Biophysics, Dezhou University, Dezhou, Shandong Province China; School of Physics and Electronic Information, Dezhou University, Dezhou, Shandong Province China.
Yuedong Yang
Zanxia Cao
Zhixiu Li
Huiying Zhao
Yaoqi Zhou

Funding

Statistical Energy Functions: a Fragment-based ApproachR01GM085003 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI ZHOU, YAOQI · 2008 to 2011
$1.1M
NIGMS NIH HHS R01 GM085003NIGMS NIH HHS R01GM085003
6 · The paper itself

Abstract

Probabilities of disorder for FlgM proteins of 39 species whose optimal growth temperature ranges from 273 K (0°C) to 368 K (95°C) were predicted by a newly developed method called Sequence-based Prediction with Integrated NEural networks for Disorder (SPINE-D). We showed that the temperature-dependent behavior of FlgM proteins could be separated into two subgroups according to their sequence lengths. Only shorter sequences evolved to adapt to high temperatures (>318 K or 45°C). Their ability to adapt to high temperatures was achieved through a transition from a fully disordered state with little secondary structure to a semidisordered state with high predicted helical probability at the N-terminal region. The predicted results are consistent with available experimental data. An analysis of all orthologous protein families in 39 species suggests that such a transition from a fully disordered state to semidisordered and/or ordered states is one of the strategies employed by nature for adaptation to high temperatures.

Indexed as

Adaptation, PhysiologicalHot TemperatureMolecular Dynamics SimulationAlgorithmsAmino Acid SequenceBacteriaBacterial ProteinsMolecular Sequence DataProtein ConformationSpecies SpecificityBacterial ProteinsFlgM protein, Bacteria

Identifiers

PMID24314090
PMCPMC3853079

What OpenQuestion holds

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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.