Tetko, Igor V.
Helmholtz Munich
9 papers on CoChatORCID 0000-0002-6855-0012
Most cited papers
- Verified
QSAR without borders
Muratov, E. N., Bajorath, J., Sheridan, R. P., Tetko, I. V., Filimonov, D., Poroikov, V., Oprea, T. I., Baskin, I. I., Varnek, A., Roitberg, A., et al. (2020) · Chemical Society Reviews
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 913
- Verified
CERAPP: Collaborative Estrogen Receptor Activity Prediction Project
Mansouri, K., Abdelaziz, A., Rybacka, A., Roncaglioni, A., Tropsha, A., Varnek, A., Zakharov, A., Worth, A., Richard, A. M., Grulke, C. M., et al. (2016) · Environmental Health Perspectives
Computational Drug Discovery MethodsEffects and risks of endocrine disrupting chemicals
Cited by 375
- Verified
A renaissance of neural networks in drug discovery
Baskin, I. I., Winkler, D., & Tetko, I. V. (2016) · Expert Opinion on Drug Discovery
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 235
- Verified
Parvalbumin deficiency affects network properties resulting in increased susceptibility to epileptic seizures
Schwaller, B., Tetko, I. V., Tandon, P., Silveira, D. C., Vreugdenhil, M., Henzi, T., Potier, M.-C., Celio, M. R., & Villa, A. E. P. (2004) · Molecular and Cellular Neuroscience
Epilepsy research and treatmentNeuroscience and Neuropharmacology Research
Cited by 169
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Comparative Study of Multitask Toxicity Modeling on a Broad Chemical Space
Sosnin, S., Karlov, D., Tetko, I. V., & Fedorov, M. V. (2019) · Journal of Chemical Information and Modeling
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 102
- Verified
Inductive Transfer of Knowledge: Application of Multi-Task Learning and Feature Net Approaches to Model Tissue-Air Partition Coefficients
Varnek, A., Gaudin, C., Marcou, G., Baskin, I., Pandey, A. K., & Tetko, I. V. (2009) · Journal of Chemical Information and Modeling
Computational Drug Discovery MethodsMachine Learning in Materials Science
Cited by 86
- Verified
ToxCast EPA in Vitro to in Vivo Challenge: Insight into the Rank-I Model
Novotarskyi, S., Abdelaziz, A., Sushko, Y., Körner, R., Vogt, J., & Tetko, I. V. (2016) · Chemical Research in Toxicology
Computational Drug Discovery MethodsAnimal testing and alternatives
Cited by 34
- Verified
Early ADME/T Predictions: Toy or Tool?
Tetko, I. V., & Oprea, T. I. (2008) · Chemoinformatics Approaches to Virtual Screening
Computational Drug Discovery MethodsPharmacogenetics and Drug Metabolism
Cited by 5
- Verified
Using Online Tool (iPrior) for Modeling ToxCast™ Assays Towards Prioritization of Animal Toxicity Testing
Abdelaziz, A., Sushko, Y., Novotarskyi, S., Korner, R., Brandmaier, S., & Tetko, I. (2015) · Combinatorial Chemistry & High Throughput Screening
Computational Drug Discovery MethodsAnimal testing and alternatives
Cited by 5
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