Han Z, Xia Z, Xia J, Tetko IV, Wu S (2024)
The state-of-the-art machine learning model for Plasma Protein Binding Prediction: computational modeling with OCHEM and experimental validation.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences, 106946
DOI: 10.1016/j.ejps.2024.106946, PubMed: 39490636

Tetko IV (2024)
Tox24 Challenge.
Chemical research in toxicology, Issue 6, Vol. 37, 825-826
DOI: 10.1021/acs.chemrestox.4c00192, PubMed: 38769907

Hartog PBR, Krüger F, Genheden S, Tetko IV (2024)
Using test-time augmentation to investigate explainable AI: inconsistencies between method, model and human intuition.
Journal of cheminformatics, Issue 1, Vol. 16, 39
DOI: 10.1186/s13321-024-00824-1, PubMed: 38576047

Sturla S, Dai J, Kraegeloh A, Normura D, Tetko I, Wang Y, Serrano J (2024)
Invitation to Apply or Nominate for Membership in the Early Career Board of Chemical Research in Toxicology.
Chemical research in toxicology, Issue 2, Vol. 37, 127-128
DOI: 10.1021/acs.chemrestox.3c00415, PubMed: 38369925

Hunklinger A, Hartog P, Šícho M, Godin G, Tetko IV (2024)
The openOCHEM consensus model is the best-performing open-source predictive model in the First EUOS/SLAS joint compound solubility challenge.
SLAS discovery : advancing life sciences R & D, Issue 2, Vol. 29, 100144
DOI: 10.1016/j.slasd.2024.01.005, PubMed: 38316342

Voinarovska V, Kabeshov M, Dudenko D, Genheden S, Tetko IV (2024)
When Yield Prediction Does Not Yield Prediction: An Overview of the Current Challenges.
Journal of chemical information and modeling, Issue 1, Vol. 64, 42-56
DOI: 10.1021/acs.jcim.3c01524, PubMed: 38116926