Journal article
Deep learning identifies synergistic drug combinations for treating COVID-19
Abstract
Effective treatments for COVID-19 are urgently needed. However, discovering single-agent therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been challenging. Combination therapies play an important role in antiviral therapies, due to their improved efficacy and reduced toxicity. Recent approaches have applied deep learning to identify synergistic drug combinations for diseases with vast preexisting …
Authors
Jin W; Stokes JM; Eastman RT; Itkin Z; Zakharov AV; Collins JJ; Jaakkola TS; Barzilay R
Journal
Proceedings of the National Academy of Sciences of the United States of America, Vol. 118, No. 39,
Publisher
Proceedings of the National Academy of Sciences
Publication Date
September 28, 2021
DOI
10.1073/pnas.2105070118
ISSN
0027-8424