Publications by authors named "C McGill"

The main genetic risk factor for Alzheimer's disease (AD) is the apolipoprotein E ε4 allele (). AD risk associated with disproportionately affects women. Furthermore, human and rodent studies indicate that the cognitive deficits associated with are greater in females.

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Climate change will impact the carrot seed industry globally. One adaptation strategy to limit climatic impacts on the production of commercial carrot seeds is geographical shift. However, production must be shifted to climate-optimal places that are free from weeds such as wild carrots to avoid genetic contamination via hybridization.

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The apolipoprotein ε4 allele ( ) is associated with decreased longevity, increased vulnerability to age-related declines, and disorders across multiple systems. Interventions that promote healthspan and lifespan represent a promising strategy to attenuate the development of -associated aging phenotypes. Here we studied the ability of the longevity-promoting intervention 17α-estradiol (17αE2) to protect against age-related impairments in versus the predominant genotype using early middle-aged mice with knock-in of human alleles.

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The APOE4 allele is recognized as a significant genetic risk factor to Alzheimer's disease (AD) and influences longevity. Nonetheless, some APOE4 carriers exhibit resistance to AD even in advanced age. Humanin, a mitochondrial-derived peptide comprising 24 amino acids, has variants linked to cognitive resilience and longevity.

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Article Synopsis
  • Deep learning is now widely used for predicting molecular properties, creating a demand for user-friendly software that non-experts can use.
  • Directed message-passing neural networks (D-MPNNs), particularly via the Chemprop software, have shown strong performance in these prediction tasks and come with new features like multimolecule properties and advanced uncertainty quantification.
  • The latest version of Chemprop offers improved tools for training D-MPNN models, achieving top-tier results on various datasets in molecular property prediction.
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