articleNature Biomedical EngineeringJan 6, 2022HYBRID OA

Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow

CXChenglong XieXZXu‐Xu ZhuangZNZhangming NiuRARuixue AiSLSofie Lautrup

University of Oslo · Wenzhou Medical University · +13 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

A reduced removal of dysfunctional mitochondria is common to aging and age-related neurodegenerative pathologies such as Alzheimer's disease (AD). Strategies for treating such impaired mitophagy would benefit from the identification of mitophagy modulators. Here we report the combined use of unsupervised machine learning (involving vector representations of molecular structures, pharmacophore fingerprinting and conformer fingerprinting) and a cross-species approach for the screening and experimental validation of new mitophagy-inducing compounds. From a library of naturally occurring compounds, the workflow allowed us to identify 18 small molecules, and among them two potent mitophagy inducers (Kaempferol and…

Citation impact

333
total citations
FWCI
37.19
Percentile
100%
References
104
Citations per year

Authors

29

Topics & keywords

Topics
Keywords
  • Mitophagy
  • Pharmacophore
  • Neuroscience
  • Mechanism (biology)
  • Biology
  • Mitochondrion
  • Computational biology
  • Drug discovery
No related works found for this paper.

Funding