Evidence map›Paper›PMID 24362824›Full record

ArticleEuropean biophysics journal : EBJ2014

Honey bee odorant-binding protein 14: effects on thermal stability upon odorant binding revealed by FT-IR spectroscopy and CD measurements.

Andreas Schwaighofer, Caroline Kotlowski, Can Araman, Nam Chu, Rosa Mastrogiacomo, Christian Becker, Paolo Pelosi, Wolfgang Knoll, Melanie Larisika, Christoph Nowak

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Article in European biophysics journal : EBJ, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 27 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Andreas SchwaighoferAustrian Institute of Technology GmbH, AIT, Donau-City Str. 1, 1220, Vienna, Austria.
Caroline Kotlowski
Can Araman
Nam Chu
Rosa Mastrogiacomo
Christian Becker
Paolo Pelosi
Wolfgang Knoll
Melanie Larisika
Christoph Nowak
Austrian Institute of Technology · ATUniversity of Vienna · ATKompetenzzentrum für elektrochemische Oberflächentechnologie · ATUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present work, we study the effect of odorant binding on the thermal stability of honey bee (Apis mellifera L.) odorant-binding protein 14. Thermal denaturation of the protein in the absence and presence of different odorant molecules was monitored by Fourier transform infrared spectroscopy (FT-IR) and circular dichroism (CD). FT-IR spectra show characteristic bands for intermolecular aggregation through the formation of intermolecular β-sheets during the heating process. Transition temperatures in the FT-IR spectra were evaluated using moving-window 2D correlation maps and confirmed by CD measurements. The obtained results reveal an increase of the denaturation temperature of the protein when bound to an odorant molecule. We could also discriminate between high- and low-affinity odorants by determining transition temperatures, as demonstrated independently by the two applied methodologies. The increased thermal stability in the presence of ligands is attributed to a stabilizing effect of non-covalent interactions between odorant-binding protein 14 and the odorant molecule.

Indexed as

Acyclic MonoterpenesAnimalsBeesCircular DichroismEugenolHot TemperatureInsect ProteinsProtein BindingProtein DenaturationProtein StabilityReceptors, OdorantSpectroscopy, Fourier Transform InfraredTerpenesAcyclic MonoterpenesEugenolgeraniolInsect Proteinsodorant-binding proteinReceptors, OdorantTerpenes

Identifiers

PMID24362824
OpenAlexW2066560282

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.