Evidence map›Paper›PMID 29320696›Full record

ArticleBiophysical journal2018

Using a FRET Library with Multiple Probe Pairs To Drive Monte Carlo Simulations of α-Synuclein.

John J Ferrie, Conor M Haney, Jimin Yoon, Buyan Pan, Yi-Chih Lin, Zahra Fakhraai, Elizabeth Rhoades, Abhinav Nath, E James Petersson

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

John J FerrieDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Conor M HaneyDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Jimin YoonDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Buyan PanDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Yi-Chih LinDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Zahra FakhraaiDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Elizabeth RhoadesDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania.
Abhinav NathDepartment of Medicinal Chemistry, School of Pharmacy, University of Washington, Seattle, Washington.
E James PeterssonDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: ejpetersson@sas.upenn.edu.
University of Pennsylvania · USUniversity of Washington · US

Funding

Training in Alzheimer’s and Age-Related Neurodegenerative DiseasesT32AG000255 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ALICE S CHEN-PLOTKIN, VIRGINIA M LEE · 1997 to 2026
$12.5M
Studying Aggregation in Neurodegenerative Disease Using Synthetic ProteinsR01NS103873 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Ernest James Petersson · 2019 to 2026
$2.1M
Self-association and membrane-binding of alpha-synucleinR01NS079955 · NINDS · YALE UNIVERSITY · PI RHOADES, ELIZABETH · 2013 to 2017
$1.7M
Semi-synthetic a-Synuclein for Tracking Aggregation and Cell-to-Cell TransmissionR01NS081033 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI PETERSSON, ERNEST JAMES · 2012 to 2015
$1.3M
Semi-synthetic a-Synuclein for Tracking Aggregation and Cell-to-Cell TransmissionR56NS081033 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI PETERSSON, ERNEST JAMES · 2017 to 2017
$357k
NIA NIH HHS T32 AG000255NINDS NIH HHS R01 NS079955NINDS NIH HHS R01 NS081033NINDS NIH HHS R56 NS081033
6 · The paper itself

Abstract

We describe a strategy for experimentally-constraining computational simulations of intrinsically disordered proteins (IDPs), using α-synuclein, an IDP with a central role in Parkinson's disease pathology, as an example. Previously, data from single-molecule Förster Resonance Energy Transfer (FRET) experiments have been effectively utilized to generate experimentally constrained computational models of IDPs. However, the fluorophores required for single-molecule FRET experiments are not amenable to the study of short-range (<30 Å) interactions. Using ensemble FRET measurements allows one to acquire data from probes with multiple distance ranges, which can be used to constrain Monte Carlo simulations in PyRosetta. To appropriately employ ensemble FRET data as constraints, we optimized the shape and weight of constraining potentials to afford ensembles of structures that are consistent with experimental data. We also used this approach to examine the structure of α-synuclein in the presence of the compacting osmolyte trimethylamine-N-oxide. Despite significant compaction imparted by 2 M trimethylamine-N-oxide, the underlying ensemble of α-synuclein remains largely disordered and capable of aggregation, also in agreement with experimental data. These proof-of-concept experiments demonstrate that our modeling protocol enables one to efficiently generate experimentally constrained models of IDPs that incorporate atomic-scale detail, allowing one to study an IDP under a variety of conditions.

Indexed as

Fluorescence Resonance Energy TransferMonte Carlo MethodAllosteric Regulationalpha-Synucleinalpha-Synuclein

Identifiers

PMID29320696
PMCPMC5773763
OpenAlexW2784102787

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.