"Machine Learning Models Identify Inhibitors of SARS-CoV-2."

Victor O. Gawriljuk et al. (2021)

> Home

Details and statistics

DOI: 10.1021/ACS.JCIM.1C00683

access: closed

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcisd/GawriljukZPZFLH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcisd/GawriljukZPZFLH21
Victor O. Gawriljuk, Phyo Phyo Kyaw Zin, Ana C. Puhl, Kimberley M. Zorn, Daniel H. Foil, Thomas R. Lane, Brett Hurst, Tatyana Almeida Tavella, Fabio Trindade Maranhão Costa, Premkumar Lakshmanane, Jean Bernatchez, Andre S. Godoy, Glaucius Oliva, Jair L. Siqueira-Neto, Peter B. Madrid, Sean Ekins:
Machine Learning Models Identify Inhibitors of SARS-CoV-2. J. Chem. Inf. Model. 61(9): 4224-4235 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.