A Deep Learning Approach to Antibiotic Discovery

A Deep Learning Approach to Antibiotic Discovery

Due to the rapid emergence of antibiotic-resistant bacteria, there is a growing need to discover new antibiotics. To address this challenge, we trained a deep neural network capable of predicting molecules with antibacterial activity. We performed predictions on multiple chemical libraries and disco...

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Bibliographic Details
Main Authors: Stokes, Jonathan (Author), Yang, Kevin (Author), Swanson, Kyle (Author), Jin, Wengong (Author), Cubillos, Andres Fernando (Author), Donghia, Nina (Author), MacNair, Craig R. (Author), French, Shawn (Author), Carfrae, Lindsey A. (Author), Bloom-Ackermann, Zohar (Author), Tran, Victoria M. (Author), Chiappino-Pepe, Anush (Author), Badran, Ahmed (Author), Andrews, Ian W. (Author), Chory, Emma J (Author), Church, George M. (Author), Brown, Eric D. (Author), Jaakkola, Tommi S. (Author), Barzilay, Regina (Author), Collins, James J. (Author)
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2020-07-13T19:06:42Z.
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