Evidence map›Paper›PMID 30888574›Full record

ReviewBiophysical reviews2019

Ionic liquids and protein folding-old tricks for new solvents.

Ryota Wakayama, Susumu Uchiyama, Damien Hall

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Biophysical reviews · 2025
    Article
  2. Biophysical reviews · 2023
    Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

3 authors.

Ryota WakayamaDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Suita, 3-1-Yamada-oka, Osaka, 565-0871, Japan.
Susumu UchiyamaDepartment of Biotechnology, Graduate School of Engineering, Osaka University, Suita, 3-1-Yamada-oka, Osaka, 565-0871, Japan.
Damien HallInstitute for Protein Research, Osaka University, 3-1-Yamada-oka, Suita, Osaka, 565-0871, Japan. damien.hall@protein.osaka-u.ac.jp.ORCID http://orcid.org/0000-0003-1538-7618

Funding

Australian National University Senior Research FellowshipNational Institute of Diabetes and Digestive and Kidney Diseases Visiting FellowshipOsaka University Funds in Aid of Visiting Foreign Professor
6 · The paper itself

Abstract

One important aspect of the green chemistry revolution has been the use of ionic liquids as the solvent in liquid-phase enzymatic catalysis. An essential requirement for protein enzyme function is the correct folding of the polypeptide chain into its functional "native" state. Quantitative assessment of protein structure may be carried out either empirically, or by using model-based characterization procedures, in which the parameters are defined in terms of a standard reference state. In this short note, we briefly outline the nature of the parameters associated with different empirical and model-based characterization procedures and point out factors which affect their interpretation when using a base solvent different from water. This review principally describes arguments developed by Wakayama et al., Protein Solubility and Amorphous Aggregation: From Academic Research to Applications in Drug Discovery and Bioindustry, 2019, edited by Y. Kuroda and F. Arisaka; CMC Publishing House. Sections of that work are translated from the original Japanese and republished here with the full permission of CMC Publishing Corporation.

Indexed as

Data reductionIonic liquidsProtein foldingThermodynamic characterization

Identifiers

PMID30888574
PMCPMC6441443

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.