DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data. Microbiome, 2018, 6(1): 23.Arango-Argoty, G.; Garner, E.; Pruden, A.; Heath, L.S.; Vikesland, P.; Zhang, L. DeepARG: A Deep Learning Approach for Predicting Antibiotic Resistance Genes ...
Here we reasoned that the chemical substructures associated with antibiotic activity learned by neural network models can be identified and used to predict structural classes of antibiotics. We tested this hypothesis by developing an explainable, substructure-based approach for the efficient, deep learning...
et al. Deep learning enables rapid identification of potent DDR1 kinase inhibitors. Nat. Biotechnol. 37, 1038–1040 (2019). Article Google Scholar Stokes, J. M. et al. A deep learning approach to antibiotic discovery. Cell 180, 688–702.e613 (2020). Article Google Scholar Godinez, W...
(***)A Deep Learning Approach to Antibiotic Discoveryby Barzilay and Collins. Develop a model to predict antibiotic activity based on chemical structure, screen millions of compounds and extensively validate one drug candidate. (***)Deep reinforcement learning for de novo drug designby Tropsha. ...
It's a rule-breaker on many levels: Finding a novel use for an existing compound; using neural nets in place of familiar chemical definitions; and finding an antibiotic that doesn't behave like the usual kind. It's enough to make one believe deep learning forms of AI can change the...
antibiotic activity learned by neural network models can be identified and used to predict structural classes of antibiotics. We tested this hypothesis by developing an explainable, substructure-based approach for the efficient, deep learning-guided exploration of chemical spaces. We determined the ...
DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data Growing concerns about increasing rates of antibiotic resistance call for expanded and comprehensive global monitoring. Advancing methods for monitoring of... G Arango-Argoty,E Garner,A Pruden,... - 《Mi...
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M. et al. A deep learning approach to antibiotic discovery. Cell 181, 475–483 (2020). Article CAS PubMed Google Scholar Hu, S. et al. Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks. BMC Bioinform. 20, 1–12 (2019)....