Evidence map›Paper›PMID 29427530›Full record

ArticleProteins2018

Comparing side chain packing in soluble proteins, protein-protein interfaces, and transmembrane proteins.

J C Gaines, S Acebes, A Virrueta, M Butler, L Regan, C S O'Hern

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proteins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Core packing of well-defined X-ray and NMR structures is the same.Protein science : a publication of the Protein Society · 2022
    Article
  5. Using physical features of protein core packing to distinguish real proteins from decoys.Protein science : a publication of the Protein Society · 2020
    Article
  6. Article
  7. Article
  8. A threonine zipper that mediates protein-protein interactions: Structure and prediction.Protein science : a publication of the Protein Society · 2018
    Article
  9. 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 at 2 institutions in 1 country.

J C GainesProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, 06520.ORCID 0000-0001-8080-337X
S AcebesDepartment of Mechanical Engineering and Materials Science, Yale University, New Haven, Connecticut, 06520.
A VirruetaIntegrated Graduate Program in Physical and Engineering Biology (IGPPEB), Yale University, New Haven, Connecticut, 06520.
M ButlerDepartment of Physics and Astronomy, University of Southern California, Los Angeles, California, 90007.
L ReganIntegrated Graduate Program in Physical and Engineering Biology (IGPPEB), Yale University, New Haven, Connecticut, 06520.
C S O'HernProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, 06520.
Yale University · USUniversity of Southern California · US

Funding

Systems analysis of phenotypic switch in control of cancer invasionU54CA209992 · NCI · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2016 to 2021
$10.1M
Designed proteins to study and modulate cellular processesR01GM118528 · NIGMS · YALE UNIVERSITY · PI MOCHRIE, SIMON · 2017 to 2020
$1.2M
Convergent Graduate Training in Engineering, Physics and BiologyT32EB019941 · NIBIB · YALE UNIVERSITY · PI O'HERN, COREY · 2016 to 2020
$998k
NCI NIH HHS U54 CA209992NIBIB NIH HHS T32 EB019941NIGMS NIH HHS R01 GM118528
6 · The paper itself

Abstract

We compare side chain prediction and packing of core and non-core regions of soluble proteins, protein-protein interfaces, and transmembrane proteins. We first identified or created comparable databases of high-resolution crystal structures of these 3 protein classes. We show that the solvent-inaccessible cores of the 3 classes of proteins are equally densely packed. As a result, the side chains of core residues at protein-protein interfaces and in the membrane-exposed regions of transmembrane proteins can be predicted by the hard-sphere plus stereochemical constraint model with the same high prediction accuracies (>90%) as core residues in soluble proteins. We also find that for all 3 classes of proteins, as one moves away from the solvent-inaccessible core, the packing fraction decreases as the solvent accessibility increases. However, the side chain predictability remains high (80% within 30°) up to a relative solvent accessibility, rSASA≲0.3, for all 3 protein classes. Our results show that ≈40% of the interface regions in protein complexes are "core", that is, densely packed with side chain conformations that can be accurately predicted using the hard-sphere model. We propose packing fraction as a metric that can be used to distinguish real protein-protein interactions from designed, non-binding, decoys. Our results also show that cores of membrane proteins are the same as cores of soluble proteins. Thus, the computational methods we are developing for the analysis of the effect of hydrophobic core mutations in soluble proteins will be equally applicable to analyses of mutations in membrane proteins.

Indexed as

Models, MolecularAmino AcidsBinding SitesDatabases, ProteinHydrophobic and Hydrophilic InteractionsMembrane ProteinsMutationProtein BindingProtein Interaction MappingProtein Structure, SecondarySolubilitySurface PropertiesAmino AcidsMembrane Proteinshydrophobic amino acidsprotein designprotein interfacesprotein-peptide interactionsprotein-protein interactionsprotein structure predictionrotamer predictionside chain dihedral anglesside chain repackingtransmembrane proteins

Identifiers

PMID29427530
PMCPMC5912992
OpenAlexW2791020903

What OpenQuestion holds

Textmetadata
LicenceTDM
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.