A Deep Learning Approach to Antibiotic Discovery
Jonathan M. Stokes,Kevin Yang,Kyle Swanson,Wengong Jin,Andres Cubillos-Ruiz,Nina M. Donghia,Craig R. MacNair,Shawn French,Lindsey A. Carfrae,Zohar Bloom-Ackermann,Victoria M. Tran,Anush Chiappino-Pepe,Ahmed H. Badran,Ian W. Andrews,Ian W. Andrews,Ian W. Andrews,Emma J. Chory,George M. Church,Eric D. Brown,Tommi S. Jaakkola,Regina Barzilay,James J. Collins +21 more
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TLDR
A deep neural network capable of predicting molecules with antibacterial activity is trained and a molecule from the Drug Repurposing Hub-halicin- is discovered that is structurally divergent from conventional antibiotics and displays bactericidal activity against a wide phylogenetic spectrum of pathogens.About:
This article is published in Cell.The article was published on 2020-02-20 and is currently open access. It has received 1002 citations till now.read more
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Pharmacological characterization of a structurally new class of antibacterial compound, triphenyl-phosphonium conjugated diarylheptanoid: Antibacterial activity and molecular mechanism.
Shweta Kumari,Sundarraj Jayakumar,Subhash C. Bihani,Neena G. Shetake,Neena G. Shetake,Raji Naidu,Vijay Kumar Kutala,Haladhar Dev Sarma,Gagan D. Gupta,Gagan D. Gupta,Santosh K. Sandur,Santosh K. Sandur,Vinay Kumar +12 more
TL;DR: It is shown that mitocurcumin belongs to a structurally new class of bactericidal compounds and displays activity against MDR strains of pathogenic bacteria and challenging MRSA, and does not show resistance development even after 27 bacterial generations.
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Using big data and mobile health to manage diarrhoeal disease in children in low-income and middle-income countries: societal barriers and ethical implications
TL;DR: In this paper , a transparent approach to promote the inclusion of researchers in low-income and middle-income countries (LMICs) could address partnership imbalances, and a big data umbrella encompassing cloud-based centralised databases to analyse interlinked human, animal, agricultural, social and climate data would provide an informative solution to the development of appropriate management protocols in LMICs.
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Identification of Eltrombopag as a Repurposing Drug Against Staphylococcus epidermidis and its Biofilms.
TL;DR: In this article, the antimicrobial effects of eltrombopag (EP) against S. epidermidis was analyzed and it was shown that EP was significantly toxic to Staphylococcus epiderminis with the minimal inhibitory concentration of 8μg/ml, and effectively inhibited the biofilms and persisters in a strain-dependent manner.
Probabilistic Modeling of Structure in Science: Statistical Physics to Recommender Systems
TL;DR: Flowbased convolutional generative models designed for continuous variables with recent work on hierarchical variational approximations enables the modeling of discrete random variables and shows that building problem structure into an approximate inference algorithm improves the accuracy of probabilistic modeling methods.
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Tourism Growth Prediction Based on Deep Learning Approach
TL;DR: In this article, a framework for deep learning-based monthly prediction of the volumes of Macau tourist arrivals was presented, where the main objective was to predict the tourism growth via one of the deep learning algorithms of extracting new features.
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