Antimicrobial resistance in rivers: a review of the genes detected and new challenges
P Grenni - Environmental Toxicology and Chemistry, 2022 - Wiley Online Library
River ecosystems are very important parts of the water cycle and an excellent habitat, food,
and drinking water source for many organisms, including humans. Antibiotics are emerging …
and drinking water source for many organisms, including humans. Antibiotics are emerging …
Predicting drug-microbiome interactions with machine learning
Pivotal work in recent years has cast light on the importance of the human microbiome in
maintenance of health and physiological response to drugs. It is now clear that …
maintenance of health and physiological response to drugs. It is now clear that …
Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance
H Zhu, H Hao, L Yu - BMC biology, 2023 - Springer
Background Enormous clinical and biomedical researches have demonstrated that
microbes are crucial to human health. Identifying associations between microbes and …
microbes are crucial to human health. Identifying associations between microbes and …
Predicting human microbe–drug associations via graph convolutional network with conditional random field
Motivation Human microbes play critical roles in drug development and precision medicine.
How to systematically understand the complex interaction mechanism between human …
How to systematically understand the complex interaction mechanism between human …
Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugs
Exploring microbial stress responses to drugs is crucial for the advancement of new
therapeutic methods. While current artificial intelligence methodologies have expedited our …
therapeutic methods. While current artificial intelligence methodologies have expedited our …
Ensembling graph attention networks for human microbe–drug association prediction
Motivation Human microbes get closely involved in an extensive variety of complex human
diseases and become new drug targets. In silico methods for identifying potential microbe …
diseases and become new drug targets. In silico methods for identifying potential microbe …
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe–drug associations
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 …
with human hosts, and get involved in modulating drug efficacy and drug toxicity. Microbes …
Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models
L Wang, Y Tan, X Yang, L Kuang… - Briefings in …, 2022 - academic.oup.com
In recent years, with the rapid development of techniques in bioinformatics and life science,
a considerable quantity of biomedical data has been accumulated, based on which …
a considerable quantity of biomedical data has been accumulated, based on which …
Inferring human microbe–drug associations via multiple kernel fusion on graph neural network
Complex and diverse microbial communities have certain impacts on human health, and
specific drugs are needed to treat diseases caused by microbes. However, most of the …
specific drugs are needed to treat diseases caused by microbes. However, most of the …
Predicting microbe–drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy
Motivation Predicting the associations between human microbes and drugs (MDAs) is one
critical step in drug development and precision medicine areas. Since discovering these …
critical step in drug development and precision medicine areas. Since discovering these …