Evidence map›Paper›PMID 26892785›Full record

ArticleBMC evolutionary biology2016

Binding interface change and cryptic variation in the evolution of protein-protein interactions.

Ryan M Ames, David Talavera, Simon G Williams, David L Robertson, Simon C Lovell

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolutionary diversification of protein-protein interactions by interface add-ons.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

5 authors.

Ryan M AmesComputational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK. r.ames@exeter.ac.uk.
David TalaveraComputational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK. david.talavera@manchester.ac.uk.
Simon G WilliamsComputational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK. simon.williams2@manchester.ac.uk.
David L RobertsonComputational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK. david.robertson@manchester.ac.uk.
Simon C LovellComputational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester, M13 9PT, UK. simon.lovell@manchester.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/I020489/1Medical Research Council G0902272Medical Research Council MC_PC_13042Medical Research Council MR/K006665/1Wellcome Trust WT105618MA
6 · The paper itself

Abstract

backgroundPhysical interactions between proteins are essential for almost all biological functions and systems. To understand the evolution of function it is therefore important to understand the evolution of molecular interactions. Of key importance is the evolution of binding specificity, the set of interactions made by a protein, since change in specificity can lead to "rewiring" of interaction networks. Unfortunately, the interfaces through which proteins interact are complex, typically containing many amino-acid residues that collectively must contribute to binding specificity as well as binding affinity, structural integrity of the interface and solubility in the unbound state.

resultsIn order to study the relationship between interface composition and binding specificity, we make use of paralogous pairs of yeast proteins. Immediately after duplication these paralogues will have identical sequences and protein products that make an identical set of interactions. As the sequences diverge, we can correlate amino-acid change in the interface with any change in the specificity of binding. We show that change in interface regions correlates only weakly with change in specificity, and many variants in interfaces are functionally equivalent. We show that many of the residue replacements within interfaces are silent with respect to their contribution to binding specificity.

conclusionsWe conclude that such functionally-equivalent change has the potential to contribute to evolutionary plasticity in interfaces by creating cryptic variation, which in turn may provide the raw material for functional innovation and coevolution.

Indexed as

Evolution, MolecularAmino AcidsBinding SitesBiological EvolutionGene DuplicationGenome, FungalProtein Interaction Domains and MotifsProtein Interaction MappingSaccharomyces cerevisiae ProteinsAmino AcidsSaccharomyces cerevisiae Proteins

Identifiers

PMID26892785
PMCPMC4758157

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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.