Evidence map›Paper›PMID 35778843›Full record

ArticleBiophysical journal2022

Conformational entropy limits the transition from nucleation to elongation in amyloid aggregation.

Tien M Phan, Jeremy D Schmit

Abstract read
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Nonparametric Determination of the Committor in Multimolecular Systems.Journal of chemical theory and computation · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

2 authors.

Tien M PhanDepartment of Physics, Kansas State University, Manhattan, Kansas.
Jeremy D SchmitDepartment of Physics, Kansas State University, Manhattan, Kansas. Electronic address: schmit@phys.ksu.edu.

Funding

Theoretical and computational modeling of amyloid aggregationR01GM107487 · NIGMS · KANSAS STATE UNIVERSITY · PI SCHMIT, JEREMY DAVID · 2014 to 2018
$1.4M
Structure-function properties in liquid organellesR01GM141235 · NIGMS · KANSAS STATE UNIVERSITY · PI SCHMIT, JEREMY DAVID · 2021 to 2024
$1.3M
NIGMS NIH HHS R01 GM107487NIGMS NIH HHS R01 GM141235
6 · The paper itself

Abstract

The formation of β-sheet-rich amyloid fibrils in Alzheimer's disease and other neurodegenerative disorders is limited by a slow nucleation event. To understand the initial formation of β-sheets from disordered peptides, we used all-atom simulations to parameterize a lattice model that treats each amino acid as a binary variable with β- and non-β-sheet states. We show that translational and conformational entropy give the nascent β-sheet an anisotropic surface tension that can be used to describe the nucleus with 2D classical nucleation theory. Since translational entropy depends on concentration, the aspect ratio of the critical β-sheet changes with protein concentration. Our model explains the transition from the nucleation phase to elongation as the point where the β-sheet core becomes large enough to overcome the conformational entropy cost to straighten the terminal molecule. At this point the β-strands in the nucleus spontaneously elongate, which results in a larger binding surface to capture new molecules. These results suggest that nucleation is relatively insensitive to sequence differences in coaggregation experiments because the nucleus only involves a small portion of the peptide.

Indexed as

AmyloidPeptidesAmyloid beta-PeptidesEntropyPeptide FragmentsProtein Conformation, beta-StrandAmyloidAmyloid beta-PeptidesPeptide FragmentsPeptides

Identifiers

PMID35778843
PMCPMC9388551

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.