Evidence map›Paper›PMID 32607444›Full record

ArticleACS central science2020

Mechanisms of γ-Secretase Activation and Substrate Processing.

Apurba Bhattarai, Sujan Devkota, Sanjay Bhattarai, Michael S Wolfe, Yinglong Miao

Open access · diamondAbstract read
In one paragraph

Article in ACS central science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Review
  3. Biochemistry and biophysics reports · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Gaussian Accelerated Molecular Dynamics in OpenMM.The journal of physical chemistry. B · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Apurba BhattaraiCenter for Computational Biology and Department of Molecular Biosciences, and Department of Medicinal Chemistry, School of Pharmacy, University of Kansas, Lawrence, Kansas 66047, United States.
Sujan DevkotaCenter for Computational Biology and Department of Molecular Biosciences, and Department of Medicinal Chemistry, School of Pharmacy, University of Kansas, Lawrence, Kansas 66047, United States.
Sanjay BhattaraiCenter for Computational Biology and Department of Molecular Biosciences, and Department of Medicinal Chemistry, School of Pharmacy, University of Kansas, Lawrence, Kansas 66047, United States.
Michael S WolfeCenter for Computational Biology and Department of Molecular Biosciences, and Department of Medicinal Chemistry, School of Pharmacy, University of Kansas, Lawrence, Kansas 66047, United States.
Yinglong MiaoCenter for Computational Biology and Department of Molecular Biosciences, and Department of Medicinal Chemistry, School of Pharmacy, University of Kansas, Lawrence, Kansas 66047, United States.
University of Kansas · US

Funding

Mechanisms of Gamma-SecretaseR01GM122894 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI WOLFE, MICHAEL S · 2017 to 2020
$1.2M
NIGMS NIH HHS R01 GM122894
6 · The paper itself

Abstract

Amyloid β-peptide, the principal component of characteristic cerebral plaques of Alzheimer's disease (AD), is produced through intramembrane proteolysis of the amyloid precursor protein (APP) by γ-secretase. Despite the importance in the pathogenesis of AD, the mechanisms of intramembrane proteolysis and substrate processing by γ-secretase remain poorly understood. Here, complementary all-atom simulations using a robust Gaussian accelerated molecular dynamics (GaMD) method and biochemical experiments were combined to investigate substrate processing of wildtype and mutant APP by γ-secretase. The GaMD simulations captured spontaneous activation of γ-secretase, with hydrogen bonded catalytic aspartates and water poised for proteolysis of APP at the ε cleavage site. Furthermore, GaMD simulations revealed that familial AD mutations I45F and T48P enhanced the initial ε cleavage between residues Leu49-Val50, while M51F mutation shifted the ε cleavage site to the amide bond between Thr48-Leu49. Detailed analysis of the GaMD simulations allowed us to identify distinct low-energy conformational states of γ-secretase, different secondary structures of the wildtype and mutant APP substrate, and important active-site subpockets for catalytic function of the enzyme. The simulation findings were highly consistent with experimental analyses of APP proteolytic products using mass spectrometry and Western blotting. Taken together, the GaMD simulations and biochemical experiments have enabled us to elucidate the mechanisms of γ-secretase activation and substrate processing, which should facilitate rational computer-aided drug design targeting this functionally important enzyme.

Identifiers

PMID32607444
PMCPMC7318072
OpenAlexW3033732543

What Socratic 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 Socratic graph.