Could deep learning in neural networks improve the QSAR models? G Gini, F Zanoli, A Gamba, G Raitano, E Benfenati SAR and QSAR in Environmental Research 30 (9), 617-642, 2019 | 36 | 2019 |
Can antiviral activity of licorice help fight COVID-19 infection? L Diomede, M Beeg, A Gamba, O Fumagalli, M Gobbi, M Salmona Biomolecules 11 (6), 855, 2021 | 29 | 2021 |
Pathogenic Aβ A2V versus protective Aβ A2T mutation: Early stage aggregation and membrane interaction L Colombo, A Gamba, L Cantù, M Salmona, F Tagliavini, V Rondelli, ... Biophysical Chemistry 229, 11-18, 2017 | 20 | 2017 |
Evaluation of non-commercial models for genotoxicity and carcinogenicity in the assessment of EFSA’s databases E Carnesecchi, G Raitano, A Gamba, E Benfenati, A Roncaglioni SAR and QSAR in Environmental Research 31 (1), 33-48, 2020 | 5 | 2020 |
Quantitative analysis of proteins which are members of the same protein complex but cause locus heterogeneity in disease A Gamba, M Salmona, G Bazzoni Scientific reports 10 (1), 1-10, 2020 | 4 | 2020 |
Skin sensitization quantitative QSAR models based on mechanistic structural alerts G Selvestrel, D Baderna, C Toma, AYC Alfonso, A Gamba, E Benfenati Toxicology 468, 153111, 2022 | 3 | 2022 |
Using VEGAHUB Within a Weight-of-Evidence Strategy S Manganelli, A Gamba, E Colombo, E Benfenati In Silico Methods for Predicting Drug Toxicity, 479-495, 2022 | 3 | 2022 |
The similarity of inherited diseases (II): clinical and biological similarity between the phenotypic series A Gamba, M Salmona, L Cantù, G Bazzoni BMC Medical Genomics 13, 1-11, 2020 | 2 | 2020 |
Approaches to the molecular basis of genetic diseases A Gamba Università degli Studi di Milano, 2018 | 1 | 2018 |
First steps for creating an ontology for cognitive function defects for regulatory application E Kuchovska, A Gamba, LC Maia Ladeira, B Staumont, R Lesage, ... 21st International Congress ESTIV, 2022 | | 2022 |
Physiological map to study kidney toxicity in the ONTOX project A Gamba, LC Maia Ladeira, R Lesage, D Roodzant, D Barnes, M Janssen, ... 21st International Congress ESTIV, 2022 | | 2022 |
Designing physiological maps as a tool to study liver toxicology LC Maia Ladeira, A Gamba, R Lesage, A Verhoeven, J van Ertvelde, ... 21st International Congress ESTIV, 2022 | | 2022 |
Computational modelling of neural tube closure defects J Berkhout, A Piersma, J Legler, A Gamba, LC Maia Ladeira, B Staumont, ... 21st International Congress ESTIV, 2022 | | 2022 |
Development of an adverse outcome pathway for kidney tubular necrosis D Barnes, A Irvine, A Gamba, LC Maia Ladeira, B Staumont, H Yang, ... 21st International Congress ESTIV, 2022 | | 2022 |
From Physiological Map to Ontology Unravelling Kidney Toxicity From Physiological Map to Ontology Unravelling Kidney Toxicity A Gamba, LC Maia Ladeira, R Lesage, D Roodzant, DA Barnes, ... VPH2022 Virtual Physiological Human Conference, 2022 | | 2022 |
Developing a physiological map as a framework to study chemical-induced liver steatosis LC Maia Ladeira, A Gamba, R Lesage, A Verhoeven, J Jiang, ... VPH2022 Virtual Physiological Human Conference, 2022 | | 2022 |
P04-06 New approaches for evaluating kidney toxicity using physiological maps A Gamba, LC Maia Ladeira, R Lesage, DA Barnes, D Roodzant, M Teunis, ... Toxicology Letters 368 (Supplement), 2022 | | 2022 |
Physiological maps and chemical-induced disease ontologies: tools to support NAMs development for next-generation risk assessment LC Maia Ladeira, A Gamba, R Lesage, E Kuchovska, N Görts, ... ASPIS Open Symposium, 2022 | | 2022 |
P11-09 Physiology-based framework to study chemical-induced cholestasis LC Maia Ladeira, A Gamba, R Lesage, J Ertvelde, J Jiang, A Verhoeven, ... Toxicology Letters 368, 2022 | | 2022 |
SOC-VI-08 Physiological maps: a benchmark tool for adverse outcome pathways and a cornerstone for the development of disease ontologies B Staumont, LC Maia Ladeira, A Gamba, R Lesage, A Verhoeven, J Jiang, ... Toxicology Letters 368, 2022 | | 2022 |