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Published in 2020 at "Nature Reviews Drug Discovery"
DOI: 10.1038/d41573-020-00033-z
Abstract: Discovering new antibiotics capable of tackling resistant bacteria is increasingly difficult. Stokes et al. train a deep neural network model to predict molecules with antibacterial activity. Applying the model to the Drug Repurposing Hub identified…
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Keywords:
novel antibacterial;
antibacterial agents;
predicting novel;
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Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx481
Abstract: Motivation: The ability to predict pathways for biosynthesis of metabolites is very important in metabolic engineering. It is possible to mine the repertoire of biochemical transformations from reaction databases, and apply the knowledge to predict…
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Keywords:
novel metabolic;
metabolic pathways;
predicting novel;
subgraph mining ... See more keywords
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Published in 2018 at "Molecular Cancer Therapeutics"
DOI: 10.1158/1535-7163.mct-18-0365
Abstract: Systematic approaches for accurate repurposing of targeted therapies are needed. We developed and aimed to biologically validate our therapy predicting tool (TPT) for the repurposing of targeted therapies for specific tumor types by testing the…
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Keywords:
betis;
vitro vivo;
predicting novel;
brd4 ... See more keywords