Floriane Montanari
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Drug Transport and Resistance Mechanisms, Protein Structure and Dynamics, Machine Learning in Bioinformatics
Most-Cited Works
- → Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations(2018)507 cited
- → Efficient multi-objective molecular optimization in a continuous latent space(2019)271 cited
- → Prediction of drug–ABC-transporter interaction — Recent advances and future challenges(2015)252 cited
- → Bayer’s in silico ADMET platform: a journey of machine learning over the past two decades(2020)208 cited
- → Modeling Physico-Chemical ADMET Endpoints with Multitask Graph Convolutional Networks(2019)115 cited
- → Predicting drug-induced liver injury: The importance of data curation(2017)88 cited
- → Img2Mol – accurate SMILES recognition from molecular graphical depictions(2021)70 cited
- → ChemInformatics Model Explorer (CIME): exploratory analysis of chemical model explanations(2022)38 cited