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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Scientific novelty beyond the experiment
John E. Hallsworth,Zulema Udaondo,Carlos Pedrós-Alió,Juan Höfer,Kathleen C. Benison,Karen G. Lloyd,Radames J. B. Cordero,Claudia B L de Campos,Michail M. Yakimov,Ricardo Amils +9 more
TL;DR: The importance of thought at each step of the research process, the roles of natural philosophy, and inconsistencies in logic and language, as drivers of scientific progress; the value of thought experiments; the use and limitations of artificial intelligence technologies, including their potential for interdisciplinary and transdisciplinary research; and other instances when theory is the most direct and most scientifically robust route to scientific novelty including the development of techniques for practical experimentation or fieldwork as discussed by the authors .
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Deep Learning for Scene Classification: A Survey.
Delu Zeng,Minyu Liao,Mohammad Tavakolian,Yulan Guo,Bolei Zhou,Dewen Hu,Matti Pietikäinen,Li Liu +7 more
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Catheter-Associated Urinary Tract Infections: Current Challenges and Future Prospects
TL;DR: A review of current management paradigms and challenges for catheter-associated urinary tract infection (CAUTI) is presented in this paper , followed by future prospects as they relate to the diagnosis, prevention, and treatment.
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Emerging technologies and infection models in cellular microbiology.
TL;DR: The field of cellular microbiology, rooted in the coevolution of microbes and their hosts, studies intracellular pathogens and their manipulation of host cell machinery as discussed by the authors, which holds great promise for development of anti-infective strategies with translational applications in human health.
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Potent Broad-Spectrum Antibacterial Activity of Amphiphilic Peptides against Multidrug-Resistant Bacteria.
TL;DR: Findings revealed that amphiphilic peptide WRK-12 is a promising drug candidate in the fight against MDR bacteria, including MRSA, colistin and tigecycline-resistant Escherichia coli.
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