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
MADET: a Manually Curated Knowledge Base for Microbiomic Effects on Efficacy and Toxicity of Anticancer Treatments
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DOI: 10.1128/spectrum.02116-22
Abstract: Human microbiota plays an important role in mediating drug efficacy and toxicity in anticancer treatment. In this work, we developed a comprehensive online database, which documents over 480 microbiota-drug associations manually curated from 26 research… read more here.
Keywords: efficacy toxicity; database; microbiota drug; drug associations ... 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