Evidence map›Paper›PMID 30424574›Full record

ArticleInternational journal of molecular sciences2018

The Melting Diagram of Protein Solutions and Its Thermodynamic Interpretation.

Kálmán Tompa, Mónika Bokor, Péter Tompa

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Macromolecular Interactions of Disordered Proteins.International journal of molecular sciences · 2020
    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

3 authors.

Kálmán TompaInstitute for Solid State Physics and Optics, Wigner RCP of the HAS, Konkoly-Thege út 29-33, H-1121 Budapest, Hungary. tompa.kalman@wigner.mta.hu.
Mónika BokorInstitute for Solid State Physics and Optics, Wigner RCP of the HAS, Konkoly-Thege út 29-33, H-1121 Budapest, Hungary. bokor.monika@wigner.mta.hu.ORCID 0000-0001-8883-1316
Péter TompaInstitute of Enzymology, Research Centre for Natural Sciences of the HAS, Magyar Tudósok körút. 27, H-1117 Budapest, Hungary. peter.tompa@vub.be.

Funding

Hungarian Science Foundation K124670
6 · The paper itself

Abstract

Here we present a novel method for the characterization of the hydration of protein solutions based on measuring and evaluating two-component wide-line ¹H NMR signals. We also provide a description of key elements of the procedure conceived for the thermodynamic interpretation of such results. These interdependent experimental and theoretical treatments provide direct experimental insight into the potential energy surface of proteins. The utility of our approach is demonstrated through the examples of two proteins of distinct structural classes: the globular, structured ubiquitin; and the intrinsically disordered ERD10 (early response to dehydration 10). We provide a detailed analysis and interpretation of data recorded earlier by cooling and slowly warming the protein solutions through thermal equilibrium states. We introduce and use order parameters that can be thus derived to characterize the distribution of potential energy barriers inhibiting the movement of water molecules bound to the surface of the protein. Our results enable a quantitative description of the ratio of ordered and disordered parts of proteins, and of the energy relations of protein⁻water bonds in aqueous solutions of the proteins.

Indexed as

Protein DenaturationNuclear Magnetic Resonance, BiomolecularProteinsSolubilitySolutionsThermodynamicsUbiquitinProteinsSolutionsUbiquitinhydrationproteinwide-line 1H NMR

Identifiers

PMID30424574
PMCPMC6274677

What OpenQuestion holds

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LicenceCC BY
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.