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SyntheMol-RL: a flexible reinforcement learning framework for designing easily synthesizable antibiotics.

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Antibiotic discovery in the artificial intelligence era.

Telmah Lluka1, Jonathan M Stokes1

  • 1Department of Biochemistry and Biomedical Sciences, Michael G. DeGroote Institute for Infectious Disease Research, David Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.

Annals of the New York Academy of Sciences
|November 30, 2022
PubMed
Summary

Artificial intelligence (AI) accelerates antibiotic discovery by improving traditional methods and enabling new approaches like systems biology and peptide discovery. Open data and collaboration are key to developing new antibiotics faster.

Failed At:

2026-06-19T13:39:52.506363+00:00

Keywords:
antibioticsdrug discoverymachine learning

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