I. Oprisiu

Quantitative Structure–Property Relationship (QSPR) Modeling of Normal Boiling Point Temperature and Composition of Binary Azeotropes

A. Varnek, V. Solov'ev, G. Marcou, 2011 .

QSPR Approach to Predict Nonadditive Properties of Mixtures. Application to Bubble Point Temperatures of Binary Mixtures of Liquids

G Marcou, A Varnek, E. Muratov, 2012, Molecular informatics.

Publicly available models to predict normal boiling point of organic compounds

D. Horvath, A. Varnek, G. Marcou, 2013 .

In Silico ADME Modeling

Ioana Oprisiu, Susanne Winiwarter, S. Winiwarter, 2021, Systems Medicine.

Findings of the Second Challenge to Predict Aqueous Solubility

Ioana Oprisiu, Antonio Llinas, Alex Avdeef, 2020, J. Chem. Inf. Model..

Prediction of In Vivo Pharmacokinetic Parameters and Time-Exposure Curves in Rats Using Machine Learning from the Chemical Structure.

Benedict W J Irwin, A. Bender, M. Segall, 2022, Molecular pharmaceutics.

Modeling of non-additive mixture properties using the Online CHEmical database and Modeling environment (OCHEM)

Igor V. Tetko, Ioana Oprisiu, Sergii Novotarskyi, 2013, Journal of Cheminformatics.

In silico ADME in drug design – enhancing the impact

Nigel Greene, Ioana Oprisiu, Susanne Winiwarter, 2018 .