Evidence map›Paper›PMID 30279585›Full record

ArticleScientific reports2018

Computational analysis of the amino acid interactions that promote or decrease protein solubility.

Qingzhen Hou, Raphaël Bourgeas, Fabrizio Pucci, Marianne Rooman

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 77 citations in OpenAlex.

  1. Review
  2. Beyond contacts: The important role of the support region in protein complex assembly.Protein science : a publication of the Protein Society · 2026
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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.

Qingzhen HouDepartment of BioModeling BioInformatics & BioProcesses, Université Libre de Bruxelles, Brussels, 1050, Belgium.
Raphaël BourgeasDepartment of BioModeling BioInformatics & BioProcesses, Université Libre de Bruxelles, Brussels, 1050, Belgium.
Fabrizio PucciDepartment of BioModeling BioInformatics & BioProcesses, Université Libre de Bruxelles, Brussels, 1050, Belgium.
Marianne RoomanDepartment of BioModeling BioInformatics & BioProcesses, Université Libre de Bruxelles, Brussels, 1050, Belgium. mrooman@ulb.ac.be.
Université Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The solubility of globular proteins is a basic biophysical property that is usually a prerequisite for their functioning. In this study, we probed the solubility of globular proteins with the help of the statistical potential formalism, in view of objectifying the connection of solubility with structural and energetic properties and of the solubility-dependence of specific amino acid interactions. We started by setting up two independent datasets containing either soluble or aggregation-prone proteins with known structures. From these two datasets, we computed solubility-dependent distance potentials that are by construction biased towards the solubility of the proteins from which they are derived. Their analysis showed the clear preference of amino acid interactions such as Lys-containing salt bridges and aliphatic interactions to promote protein solubility, whereas others such as aromatic, His-π, cation-π, amino-π and anion-π interactions rather tend to reduce it. These results indicate that interactions involving delocalized π-electrons favor aggregation, unlike those involving no (or few) dispersion forces. Furthermore, using our potentials derived from either highly or weakly soluble proteins to compute protein folding free energies, we found that the difference between these two energies correlates better with solubility than other properties analyzed before such as protein length, isoelectric point and aliphatic index. This is, to the best of our knowledge, the first comprehensive in silico study of the impact of residue-residue interactions on protein solubility properties.The results of this analysis provide new insights that will facilitate future rational protein design applications aimed at modulating the solubility of targeted proteins.

Indexed as

Models, ChemicalAmino AcidsAmino Acid SequenceAnionsCationsComputer SimulationDatasets as TopicHydrophobic and Hydrophilic InteractionsProtein ConformationProteinsSolubilityThermodynamicsAmino AcidsAnionsCationsProteins

Identifiers

PMID30279585
PMCPMC6168528
OpenAlexW2893520080

What OpenQuestion holds

Textmetadata
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.