Evidence map›Paper›PMID 25140433›Full record

ArticleBiophysical journal2014

Dynamical phase transitions reveal amyloid-like states on protein folding landscapes.

Jeffrey K Weber, Robert L Jack, Christian R Schwantes, Vijay S Pande

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Amyloid assembly is dominated by misregistered kinetic traps on an unbiased energy landscape.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Heat dissipation guides activation in signaling proteins.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  8. Review
  9. Frozen in beta.Biophysical journal · 2014
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Jeffrey K WeberDepartment of Chemistry, Stanford University, Stanford, California.
Robert L JackDepartment of Physics, University of Bath, Bath, United Kingdom.
Christian R SchwantesDepartment of Chemistry, Stanford University, Stanford, California.
Vijay S PandeDepartment of Chemistry, Stanford University, Stanford, California. Electronic address: pande@stanford.edu.
Stanford University · USStanford Medicine · USUniversity of Bath · GB

Funding

Topology, nucleation, and the protein folding barrierR01GM062868 · NIGMS · STANFORD UNIVERSITY · PI PANDE, VIJAY S · 2002 to 2018
$5.5M
NIGMS NIH HHS R01 GM062868NIGMS NIH HHS R01-GM062868
6 · The paper itself

Abstract

Developing an understanding of protein misfolding processes presents a crucial challenge for unlocking the mysteries of human disease. In this article, we present our observations of β-sheet-rich misfolded states on a number of protein dynamical landscapes investigated through molecular dynamics simulation and Markov state models. We employ a nonequilibrium statistical mechanical theory to identify the glassy states in a protein's dynamics, and we discuss the nonnative, β-sheet-rich states that play a distinct role in the slowest dynamics within seven protein folding systems. We highlight the fundamental similarity between these states and the amyloid structures responsible for many neurodegenerative diseases, and we discuss potential consequences for mechanisms of protein aggregation and intermolecular amyloid formation.

Indexed as

Phase TransitionProtein FoldingAlgorithmsAmyloidBiomechanical PhenomenaMarkov ChainsMolecular Dynamics SimulationProteinsProtein Structure, SecondaryRibosomesAmyloidProteins

Identifiers

PMID25140433
PMCPMC4142240
OpenAlexW2039207902

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.