Evidence map›Paper›PMID 33844106›Full record

ArticleJournal of biomolecular NMR2021

Comparative analysis of

Noah H Somberg, Martin D Gelenter, Mei Hong

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomolecular NMR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Noah H SombergDepartment of Chemistry, Massachusetts Institute of Technology, 170 Albany Street, Cambridge, MA, 02139, USA.
Martin D GelenterDepartment of Chemistry, Massachusetts Institute of Technology, 170 Albany Street, Cambridge, MA, 02139, USA.
Mei HongDepartment of Chemistry, Massachusetts Institute of Technology, 170 Albany Street, Cambridge, MA, 02139, USA. meihong@mit.edu.ORCID http://orcid.org/0000-0001-5255-5858
Massachusetts Institute of Technology · US

Funding

Structures and Dynamics of Proton and Cation-Dependent Channels and TransportersR01GM088204 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HONG, MEI · 2009 to 2024
$4.8M
Molecular structures of tau aggregates studied by solid-state NMRRF1AG059661 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HONG, MEI · 2018 to 2021
$2.1M
Tau structure and dynamics in Alzheimer's diseaseR01AG059661 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Mei Hong · 2023 to 2026
$1.8M
Solid-state NMR studies of the dynamic interactions of the influenza A M2 membrane protein with water, antiviral drugs, and the M1 proteinF31AI133989 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GELENTER, MARTIN DAVID · 2018 to 2020
$128k
NIAID NIH HHS F31 AI133989NIA NIH HHS R01 AG059661NIA NIH HHS RF1 AG059661NIGMS NIH HHS R01 GM088204NIH HHS AG059661NIH HHS F31AI133989
6 · The paper itself

Abstract

Cross-β amyloid fibrils and membrane-bound β-barrels are two important classes of β-sheet proteins. To investigate whether there are systematic differences in the backbone and sidechain conformations of these two families of proteins, here we analyze the

Indexed as

Amino AcidsAmino Acid SequenceAmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsModels, MolecularNuclear Magnetic Resonance, BiomolecularPeptide FragmentsProtein ConformationAmino AcidsAmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsPeptide FragmentsAmyloid proteinsBeta-barrel membrane proteinsChemical shiftsConformational distribution

Identifiers

PMID33844106
PMCPMC8828358
OpenAlexW3156910505

What OpenQuestion holds

Textmetadata
LicenceTDM
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.