Evidence map›Paper›PMID 31202237›Full record

ArticleThe Journal of chemical physics2019

Evolution of protein interfaces in multimers and fibrils.

W Jeffrey Zabel, Kyle P Hagner, Benjamin J Livesey, Joseph A Marsh, Sima Setayeshgar, Michael Lynch, Paul G Higgs

Open access · hybridAbstract read
In one paragraph

Article in The Journal of chemical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Simple mechanisms for the evolution of protein complexity.Protein science : a publication of the Protein Society · 2022
    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

7 authors at 4 institutions in 3 countries.

W Jeffrey ZabelDepartment of Physics and Astronomy, McMaster University, Hamilton, Ontario L8S 4M1, Canada.
Kyle P HagnerDepartment of Physics, Indiana University, Bloomington, Indiana 47405, USA.
Benjamin J LiveseyMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom.ORCID 0000000168661452
Joseph A MarshMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom.
Sima SetayeshgarDepartment of Physics, Indiana University, Bloomington, Indiana 47405, USA.
Michael LynchBiodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, Arizona 85287, USA.
Paul G HiggsDepartment of Physics and Astronomy, McMaster University, Hamilton, Ontario L8S 4M1, Canada.ORCID 0000000152209760
Indiana University Bloomington · USInstitute of Genetics and Cancer · GBMcMaster University · CAArizona State University · US

Funding

Causes and Population-genetic Consequences of Molecular VariationR35GM122566 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Michael R LYNCH · 2017 to 2026
$7.7M
Medical Research Council MR/M02122X/1NIGMS NIH HHS R35 GM122566
6 · The paper itself

Abstract

A majority of cellular proteins function as part of multimeric complexes of two or more subunits. Multimer formation requires interactions between protein surfaces that lead to closed structures, such as dimers and tetramers. If proteins interact in an open-ended way, uncontrolled growth of fibrils can occur, which is likely to be detrimental in most cases. We present a statistical physics model that allows aggregation of proteins as either closed dimers or open fibrils of all lengths. We use pairwise amino-acid contact energies to calculate the energies of interacting protein surfaces. The probabilities of all possible aggregate configurations can be calculated for any given sequence of surface amino acids. We link the statistical physics model to a population genetics model that describes the evolution of the surface residues. When proteins evolve neutrally, without selection for or against multimer formation, we find that a majority of proteins remain as monomers at moderate concentrations, but strong dimer-forming or fibril-forming sequences are also possible. If selection is applied in favor of dimers or in favor of fibrils, then it is easy to select either dimer-forming or fibril-forming sequences. It is also possible to select for oriented fibrils with protein subunits all aligned in the same direction. We measure the propensities of amino acids to occur at interfaces relative to noninteracting surfaces and show that the propensities in our model are strongly correlated with those that have been measured in real protein structures. We also show that there are significant differences between amino acid frequencies at isologous and heterologous interfaces in our model, and we observe that similar effects occur in real protein structures.

Indexed as

Evolution, MolecularModels, BiologicalProtein AggregatesProtein MultimerizationAmino AcidsMarkov ChainsMonte Carlo MethodProteinsThermodynamicsAmino AcidsProtein AggregatesProteins

Identifiers

PMID31202237
PMCPMC6561775
OpenAlexW2952352590

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.