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...
Main Authors: | Stokes, Jonathan, Yang, Kevin, Swanson, Kyle, Jin, Wengong, Cubillos, Andres Fernando, Donghia, Nina, MacNair, Craig R., French, Shawn, Carfrae, Lindsey A., Bloom-Ackermann, Zohar, Tran, Victoria M., Chiappino-Pepe, Anush, Badran, Ahmed, Andrews, Ian W., Chory, Emma J, Church, George M., Brown, Eric D., Jaakkola, Tommi S., Barzilay, Regina, Collins, James J. |
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Other Authors: | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
Format: | Article |
Language: | English |
Published: |
Elsevier BV
2020
|
Online Access: | https://hdl.handle.net/1721.1/126162 |
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