Evidence map›Paper›PMID 35377629›Full record

ArticleJournal of the American Chemical Society2022

Mechanism of Tripeptide Trimming of Amyloid β-Peptide 49 by γ-Secretase.

Apurba Bhattarai, Sujan Devkota, Hung Nguyen Do, Jinan Wang, Sanjay Bhattarai, Michael S Wolfe, Yinglong Miao

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

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  17. Gaussian Accelerated Molecular Dynamics in OpenMM.The journal of physical chemistry. B · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Apurba Bhattarai
Sujan Devkota
Hung Nguyen Do
Sanjay Bhattarai
University of Kansas · US

Funding

Structure and Function of Gamma-Secretase in Familial Alzheimer's DiseaseR01AG066986 · NIA · UNIVERSITY OF KANSAS LAWRENCE · PI Yinglong Miao, Michael S Wolfe · 2020 to 2026
$3.6M
Mechanisms of Gamma-SecretaseR01GM122894 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI WOLFE, MICHAEL S · 2017 to 2020
$1.2M
NIA NIH HHS R01 AG066986NIGMS NIH HHS R01 GM122894
6 · The paper itself

Abstract

The membrane-embedded γ-secretase complex processively cleaves within the transmembrane domain of amyloid precursor protein (APP) to produce 37-to-43-residue amyloid β-peptides (Aβ) of Alzheimer's disease (AD). Despite its importance in pathogenesis, the mechanism of processive proteolysis by γ-secretase remains poorly understood. Here, mass spectrometry and Western blotting were used to quantify the efficiency of tripeptide trimming of wild-type (WT) and familial AD (FAD) mutant Aβ49. In comparison to WT Aβ49, the efficiency of tripeptide trimming was similar for the I45F, A42T, and V46F Aβ49 FAD mutants but substantially diminished for the I45T and T48P mutants. In parallel with biochemical experiments, all-atom simulations using a novel peptide Gaussian accelerated molecular dynamics (Pep-GaMD) method were applied to investigate the tripeptide trimming of Aβ49 by γ-secretase. The starting structure was the active γ-secretase bound to Aβ49 and APP intracellular domain (AICD), as generated from our previous study that captured the activation of γ-secretase for the initial endoproteolytic cleavage of APP (Bhattarai, A.,

Indexed as

Alzheimer DiseaseAmyloid beta-Protein PrecursorAmyloid beta-PeptidesAmyloid Precursor Protein SecretasesHumansAmyloid beta-PeptidesAmyloid beta-Protein PrecursorAmyloid Precursor Protein Secretases

Identifiers

PMID35377629
PMCPMC9798850
OpenAlexW4223488106

What Socratic 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 Socratic graph.