Host-Microbe-Drug-Nutrient Screen Identifies Bacterial Effectors of Metformin Therapy
Sign Up to like & getrecommendations! Published in 2019 at "Cell"
DOI: 10.1016/j.cell.2019.08.003
Abstract: Summary Metformin is the first-line therapy for treating type 2 diabetes and a promising anti-aging drug. We set out to address the fundamental question of how gut microbes and nutrition, key regulators of host physiology,… read more here.
Keywords: metformin; drug; drug nutrient; host microbe ... See more keywords
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab792
Abstract: MOTIVATION Accumulated clinical studies show that microbes living in humans interact closely with human hosts, and get involved in modulating drug efficacy and drug toxicity. Microbes have become novel targets for the development of antibacterial… read more here.
Keywords: graph; microbe drug; drug; multi modal ... See more keywords
GNAEMDA: Microbe-Drug Associations Prediction on Graph Normalized Convolutional Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3233711
Abstract: The importance of microbe-drug associations (MDA) prediction is evidenced in research. Since traditional wet-lab experiments are both time-consuming and costly, computational methods are widely adopted. However, existing research has yet to consider the cold-start scenarios… read more here.
Keywords: network; graph normalized; microbe drug; prediction ... See more keywords
Microbe-Disease Association Prediction Using RGCN through Microbe-Drug-Disease Network.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3247035
Abstract: Accumulating evidence has shown that microbes play significant roles in human health and diseases. Therefore, identifying microbe-disease associations is conducive to disease prevention. In this article, a predictive method called TNRGCN is designed for microbe-disease… read more here.
Keywords: network; disease; microbe drug; microbe disease ... See more keywords
Neighborhood-based inference and restricted Boltzmann machine for microbe and drug associations prediction
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DOI: 10.7717/peerj.13848
Abstract: Background Efficient identification of microbe-drug associations is critical for drug development and solving problem of antimicrobial resistance. Traditional wet-lab method requires a lot of money and labor in identifying potential microbe-drug associations. With development of… read more here.
Keywords: machine; microbe drug; drug associations; drug ... See more keywords