Evidence map›Paper›PMID 23473495›Full record

ArticleBiophysical journal2013

Electrostatic effects in filamentous protein aggregation.

Alexander K Buell, Peter Hung, Xavier Salvatella, Mark E Welland, Christopher M Dobson, Tuomas P J Knowles

Open access · hybridAbstract read
In one paragraph

Article in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
4.6field-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

48 citing papers in PubMed, 108 citations in OpenAlex.

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  12. Atomic resolution structure of full-length human insulin fibrils.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  16. How can we discover developable antibody-based biotherapeutics?Frontiers in molecular biosciences · 2023
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  18. Amyloidogenesis: What Do We Know So Far?International journal of molecular sciences · 2022
    Review
  19. The influence of cations on α-lactalbumin amyloid aggregation.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2022
    Article
  20. 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

6 authors at 2 institutions in 2 countries.

Alexander K BuellDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Peter Hung
Xavier Salvatella
Mark E Welland
Christopher M Dobson
Tuomas P J Knowles
University of Cambridge · GBBarcelona Supercomputing Center · ES

Funding

Biotechnology and Biological Sciences Research CouncilWellcome Trust
6 · The paper itself

Abstract

Electrostatic forces play a key role in mediating interactions between proteins. However, gaining quantitative insights into the complex effects of electrostatics on protein behavior has proved challenging, due to the wide palette of scenarios through which both cations and anions can interact with polypeptide molecules in a specific manner or can result in screening in solution. In this article, we have used a variety of biophysical methods to probe the steady-state kinetics of fibrillar protein self-assembly in a highly quantitative manner to detect how it is modulated by changes in solution ionic strength. Due to the exponential modulation of the reaction rate by electrostatic forces, this reaction represents an exquisitely sensitive probe of these effects in protein-protein interactions. Our approach, which involves a combination of experimental kinetic measurements and theoretical analysis, reveals a hierarchy of electrostatic effects that control protein aggregation. Furthermore, our results provide a highly sensitive method for the estimation of the magnitude of binding of a variety of ions to protein molecules.

Indexed as

Static ElectricityAmyloidAnimalsCattleHumansInsulinKineticsOsmolar ConcentrationPolymerizationAmyloidInsulin

Identifiers

PMID23473495
PMCPMC3610013
OpenAlexW2035802034

What OpenQuestion holds

Textmetadata
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.