Evidence map›Paper›PMID 27150430›Full record

ArticleScientific reports2016

Rational design of mutations that change the aggregation rate of a protein while maintaining its native structure and stability.

Carlo Camilloni, Benedetta Maria Sala, Pietro Sormanni, Riccardo Porcari, Alessandra Corazza, Matteo De Rosa, Stefano Zanini, Alberto Barbiroli, Gennaro Esposito, Martino Bolognesi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 58 citations in OpenAlex.

  1. Chemical reviews · 2026
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  8. The effect of mutation on an aggregation-prone protein: An in vivo, in vitro, and in silico analysis.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  14. Collagen I Weakly Interacts with the β-Sheets of βJournal of the American Chemical Society · 2020
    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

13 authors at 5 institutions in 3 countries.

Carlo CamilloniDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
Benedetta Maria SalaDipartimento di Bioscienze, Università degli Studi di Milano, 20133 Milano, Italy.
Pietro SormanniDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
Riccardo PorcariWolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins, University College London, London NW3 2PF, UK.
Alessandra CorazzaDipartimento di Scienze Mediche e Biologiche, Università di Udine, 33100 Udine, Italy.
Matteo De RosaDipartimento di Bioscienze, Università degli Studi di Milano, 20133 Milano, Italy.
Stefano ZaniniDipartimento di Scienze Mediche e Biologiche, Università di Udine, 33100 Udine, Italy.
Alberto BarbiroliDipartimento di Scienze per gli Alimenti, la Nutrizione e l'Ambiente, Università degli Studi di Milano, 20133 Milano, Italy.
Gennaro EspositoDipartimento di Scienze Mediche e Biologiche, Università di Udine, 33100 Udine, Italy.
Martino BolognesiDipartimento di Bioscienze, Università degli Studi di Milano, 20133 Milano, Italy.
Vittorio BellottiWolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins, University College London, London NW3 2PF, UK.
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
Stefano RicagnoDipartimento di Bioscienze, Università degli Studi di Milano, 20133 Milano, Italy.
University of Milan · ITUniversity of Cambridge · GBUniversity College London · GBUniversity of Udine · ITNew York University Abu Dhabi · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wide range of human diseases is associated with mutations that, destabilizing proteins native state, promote their aggregation. However, the mechanisms leading from folded to aggregated states are still incompletely understood. To investigate these mechanisms, we used a combination of NMR spectroscopy and molecular dynamics simulations to compare the native state dynamics of Beta-2 microglobulin (β2m), whose aggregation is associated with dialysis-related amyloidosis, and its aggregation-resistant mutant W60G. Our results indicate that W60G low aggregation propensity can be explained, beyond its higher stability, by an increased average protection of the aggregation-prone residues at its surface. To validate these findings, we designed β2m variants that alter the aggregation-prone exposed surface of wild-type and W60G β2m modifying their aggregation propensity. These results allowed us to pinpoint the role of dynamics in β2m aggregation and to provide a new strategy to tune protein aggregation by modulating the exposure of aggregation-prone residues.

Indexed as

beta 2-MicroglobulinHumansMagnetic Resonance SpectroscopyMolecular Dynamics SimulationMutant ProteinsMutationProtein AggregatesProtein StabilityProtein Structure, SecondarySequence Analysis, ProteinThermodynamicsbeta 2-MicroglobulinMutant ProteinsProtein Aggregates

Identifiers

PMID27150430
PMCPMC4858664
OpenAlexW2346208933

What OpenQuestion holds

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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.