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About A Deep Learning Approach To Antibiotic Discovery
1) A deep learning model is trained to predict new antibiotic molecules based on their chemical structures. 2) One predicted molecule, Halicin, showed broad-spectrum antibiotic activity against various bacteria in mice. 3) The model also predicted over 100,000 potential new antibiotics from a large chemical structure database, demonstrating the ability to discover new antibiotics with distinct structures from known antibiotics.
Detailed Information
| Author: | ['Deepika Chhabra'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 29 |
| Language: | English |
| Format: | |
| Price: | FREE |
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