Andreas H. Göller
Bayer (Germany)(DE)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Analytical Chemistry and Chromatography, Libraries and Information Services, Pharmacogenetics and Drug Metabolism
Most-Cited Works
- → Predicting drug metabolism: experiment and/or computation?(2015)494 cited
- → Bayer’s in silico ADMET platform: a journey of machine learning over the past two decades(2020)208 cited
- → Torsional barriers in biphenyl, 2,2′-bipyridine and 2-phenylpyridine(2000)129 cited
- → Best of Both Worlds: Combining Pharma Data and State of the Art Modeling Technology To Improve in Silico pKa Prediction(2014)105 cited
- → MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information(2023)99 cited
- → Prediction of Oral Bioavailability in Rats: Transferring Insights from in Vitro Correlations to (Deep) Machine Learning Models Using in Silico Model Outputs and Chemical Structure Parameters(2019)98 cited