Evidence map›Paper›PMID 30397651›Full record

ArticleScience advances2018

Structure and dynamics conspire in the evolution of affinity between intrinsically disordered proteins.

Per Jemth, Elin Karlsson, Beat Vögeli, Brenda Guzovsky, Eva Andersson, Greta Hultqvist, Jakob Dogan, Peter Güntert, Roland Riek, Celestine N Chi

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  3. Biomolecular Condensates Can Enhance Homotypic RNA Clustering.bioRxiv : the preprint server for biology · 2025
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  4. Article
  5. A billion years of evolution manifest in nanosecond protein dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

10 authors at 6 institutions in 6 countries.

Per JemthDepartment of Medical Biochemistry and Microbiology, Uppsala University, BMC Box 582, SE-75123 Uppsala, Sweden.ORCID 0000-0003-1516-7228
Elin KarlssonDepartment of Medical Biochemistry and Microbiology, Uppsala University, BMC Box 582, SE-75123 Uppsala, Sweden.
Beat VögeliDepartment of Biochemistry and Molecular Genetics, University of Colorado at Denver, 12801 East 17th Avenue, Aurora, CO 80045, USA.ORCID 0000-0003-1176-3137
Brenda GuzovskyProtein Physiology Lab, FCEyN-Universidad de Buenos Aires, IQUIBICEN/CONICET, Intendente Güiraldes 2160, Ciudad Universitaria, C1428EGA Buenos Aires, Argentina.
Eva AnderssonDepartment of Medical Biochemistry and Microbiology, Uppsala University, BMC Box 582, SE-75123 Uppsala, Sweden.
Greta HultqvistDepartment of Pharmaceutical Biosciences, Uppsala University, BMC Box 591, SE-75124 Uppsala, Sweden.ORCID 0000-0002-4136-6792
Jakob DoganDepartment of Biochemistry and Biophysics, Stockholm University, SE-10691 Stockholm, Sweden.
Peter GüntertLaboratory of Physical Chemistry, ETH Zürich, ETH-Hönggerberg, Zürich, Switzerland.ORCID 0000-0002-2911-7574
Roland RiekLaboratory of Physical Chemistry, ETH Zürich, ETH-Hönggerberg, Zürich, Switzerland.
Celestine N ChiDepartment of Medical Biochemistry and Microbiology, Uppsala University, BMC Box 582, SE-75123 Uppsala, Sweden.ORCID 0000-0003-4154-2378
Uppsala University · SEConsejo Nacional de Investigaciones Científicas y Técnicas · ARETH Zurich · CHGoethe University Frankfurt · DEStockholm University · SEUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In every established species, protein-protein interactions have evolved such that they are fit for purpose. However, the molecular details of the evolution of new protein-protein interactions are poorly understood. We have used nuclear magnetic resonance spectroscopy to investigate the changes in structure and dynamics during the evolution of a protein-protein interaction involving the intrinsically disordered CREBBP (CREB-binding protein) interaction domain (CID) and nuclear coactivator binding domain (NCBD) from the transcriptional coregulators NCOA (nuclear receptor coactivator) and CREBBP/p300, respectively. The most ancient low-affinity "Cambrian-like" [540 to 600 million years (Ma) ago] CID/NCBD complex contained less secondary structure and was more dynamic than the complexes from an evolutionarily younger "Ordovician-Silurian" fish ancestor (ca. 440 Ma ago) and extant human. The most ancient Cambrian-like CID/NCBD complex lacked one helix and several interdomain interactions, resulting in a larger solvent-accessible surface area. Furthermore, the most ancient complex had a high degree of millisecond-to-microsecond dynamics distributed along the entire sequences of both CID and NCBD. These motions were reduced in the Ordovician-Silurian CID/NCBD complex and further redistributed in the extant human CID/NCBD complex. Isothermal calorimetry experiments show that complex formation is enthalpically favorable and that affinity is modulated by a largely unfavorable entropic contribution to binding. Our data demonstrate how changes in structure and motion conspire to shape affinity during the evolution of a protein-protein complex and provide direct evidence for the role of structural, dynamic, and frustrational plasticity in the evolution of interactions between intrinsically disordered proteins.

Indexed as

Evolution, MolecularProtein ConformationAmino Acid SequenceHumansIntrinsically Disordered ProteinsModels, MolecularPhylogenyProtein BindingProtein FoldingProtein Interaction Domains and MotifsSequence HomologyThermodynamicsIntrinsically Disordered Proteins

Identifiers

PMID30397651
PMCPMC6200366
OpenAlexW2898406733

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Registered trials

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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.