Evidence map›Paper›PMID 38540783›Full record

ArticleBiomolecules2024

In Silico Investigation of Parkin-Activating Mutations Using Simulations and Network Modeling.

Naeyma N Islam, Caleb A Weber, Matt Coban, Liam T Cocker, Fabienne C Fiesel, Wolfdieter Springer, Thomas R Caulfield

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Research models to study lewy body dementia.Molecular neurodegeneration · 2025
    Review
  2. 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

7 authors at 1 institution in 1 country.

Naeyma N IslamDepartment of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.
Caleb A WeberDepartment of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.
Matt CobanDepartment of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.ORCID 0000-0001-6396-6759
Liam T CockerDepartment of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.
Fabienne C FieselDepartment of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.ORCID 0000-0002-1919-9676
Wolfdieter SpringerDepartment of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.ORCID 0000-0002-1178-3149
Thomas R CaulfieldDepartment of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, USA.ORCID 0000-0002-1055-3069
Mayo Clinic in Florida · US

Funding

Project 4 (Genetic modifiers for APOE-associated Alzheimer's disease pathogenesis)U19AG069701 · NIA · MAYO CLINIC JACKSONVILLE · PI Andrea Soranno · 2021 to 2026
$42.0M
Utilization of proteomics and lipidomics to identify modifiers of LBDU54NS110435 · NINDS · MAYO CLINIC JACKSONVILLE · PI MCLEAN, PAMELA J · 2019 to 2023
$14.5M
Molecular mechanisms of PINK1-PRKN directed mitochondrial quality controlRF1NS085070 · NINDS · MAYO CLINIC JACKSONVILLE · PI SPRINGER, WOLFDIETER · 2019 to 2019
$2.8M
Mitochondrial Sirtuin 3 in Parkinson's diseaseR01NS110085 · NINDS · MAYO CLINIC JACKSONVILLE · PI MCLEAN, PAMELA J, SPRINGER, WOLFDIETER · 2019 to 2023
$2.5M
Exploiting new approaches for selective inhibition of trypsinsR01GM144393 · NIGMS · MAYO CLINIC JACKSONVILLE · PI Evette S Radisky · 2022 to 2026
$1.5M
Engineering selective inhibition of metalloproteinases by tissue inhibitors of metalloproteinases (R01 GM132100 RESUB - *TIMPs)R01GM132100 · NIGMS · MAYO CLINIC JACKSONVILLE · PI RADISKY, EVETTE S · 2020 to 2023
$1.3M
NIA NIH HHS U19 AG069701NIGMS NIH HHS R01 GM132100NIGMS NIH HHS R01 GM144393NIH HHS 5U19AG069701NIH HHS R01GM132100NIH HHS R01GM144393NINDS NIH HHS R01 NS110085NINDS NIH HHS RF1 NS085070NINDS NIH HHS U54 NS110435
6 · The paper itself

Abstract

Complete loss-of-function mutations in the PRKN gene are a major cause of early-onset Parkinson's disease (PD). PRKN encodes the Parkin protein, an E3 ubiquitin ligase that works in conjunction with the ubiquitin kinase PINK1 in a distinct quality control pathway to tag damaged mitochondria for autophagic clearance, i.e., mitophagy. According to previous structural investigations, Parkin protein is typically kept in an inactive conformation via several intramolecular, auto-inhibitory interactions. Here, we performed molecular dynamics simulations (MDS) to provide insights into conformational changes occurring during the de-repression of Parkin and the gain of catalytic activity. We analyzed four different Parkin-activating mutations that are predicted to disrupt certain aspects of its auto-inhibition. All four variants showed greater conformational motions compared to wild-type protein, as well as differences in distances between domain interfaces and solvent-accessible surface area, which are thought to play critical roles as Parkin gains catalytic activity. Our findings reveal that the studied variants exert a notable influence on Parkin activation as they alter the opening of its closed inactive structure, a finding that is supported by recent structure- and cell-based studies. These findings not only helped further characterize the hyperactive variants but overall improved our understanding of Parkin's catalytic activity and nominated targets within Parkin's structure for potential therapeutic designs.

Indexed as

Parkinson DiseaseProtein KinasesHumansMutationUbiquitin-Protein Ligasesparkin proteinProtein KinasesUbiquitin-Protein Ligasesmolecular dynamics simulationnetwork modelingparkinParkinson’s disease

Identifiers

PMID38540783
PMCPMC10968616
OpenAlexW4392958424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.