Article, 2024

Hybrid Machine Learning and Experimental Studies of Antiviral Potential of Ionic Liquids against P100, MS2, and Phi6

JOURNAL OF CHEMICAL INFORMATION AND MODELING, ISSN 1549-9596, Volume 64, 6, Pages 1996-2007, 10.1021/acs.jcim.3c02037

Contributors

Zdybel, Szymon 0000-0002-9640-3810 [1] [2] [3] Sosnowska, Anita 0000-0003-3288-4309 (Corresponding author) [1] [2] [3] Kowalska, Dominika [1] Sommer, Julia 0000-0001-6528-5551 [4] Conrady, Beate 0000-0001-8554-5963 [5] Mester, Patrick 0000-0002-3193-4987 [4] Gromelski, Maciej 0000-0001-5185-8208 [1] Puzyn, Tomasz 0000-0003-0449-8339 (Corresponding author) [1] [2] [3]

Affiliations

  1. [1] QSAR Lab, PL-80172 Gdansk, Poland
  2. [NORA names: Poland; Europe, EU; OECD];
  3. [2] Univ Gdansk, Fac Chem, Lab Environm Chemometr, PL-80308 Gdansk, Poland
  4. [NORA names: Poland; Europe, EU; OECD];
  5. [3] Univ Gdansk, Fac Chem, Lab Environm Chemometr, PL-80308 Gdansk, Poland
  6. [NORA names: Poland; Europe, EU; OECD];
  7. [4] Univ Vet Med Vienna, Inst Food Safety Food Technol & Vet Publ Hlth, Dept Farm Anim & Vet Publ Hlth, Unit Food Microbiol, A-1210 Vienna, Austria
  8. [NORA names: Austria; Europe, EU; OECD];
  9. [5] Univ Copenhagen, Dept Vet & Anim Sci, DK-1870 Copenhagen, Denmark
  10. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

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