[HTML][HTML] Bayer's in silico ADMET platform: a journey of machine learning over the past two decades

AH Göller, L Kuhnke, F Montanari, A Bonin… - Drug Discovery …, 2020 - Elsevier
Highlights•Evolution of Bayer's in silico ADMET platform, modelling pharmacokinetic and
physicochemical endpoints.•Application of machine learning, deep learning and artificial …

Predicting drug metabolism: experiment and/or computation?

J Kirchmair, AH Göller, D Lang, J Kunze… - Nature reviews Drug …, 2015 - nature.com
Drug metabolism can produce metabolites with physicochemical and pharmacological
properties that differ substantially from those of the parent drug, and consequently has …

Computational prediction of metabolism: sites, products, SAR, P450 enzyme dynamics, and mechanisms

J Kirchmair, MJ Williamson, JD Tyzack… - Journal of chemical …, 2012 - ACS Publications
Metabolism of xenobiotics remains a central challenge for the discovery and development of
drugs, cosmetics, nutritional supplements, and agrochemicals. Metabolic transformations …

SMARTCyp: a 2D method for prediction of cytochrome P450-mediated drug metabolism

P Rydberg, DE Gloriam, J Zaretzki… - ACS medicinal …, 2010 - ACS Publications
SMARTCyp is an in silico method that predicts the sites of cytochrome P450-mediated
metabolism of druglike molecules. The method is foremost a reactivity model, and as such, it …

The SMARTCyp cytochrome P450 metabolism prediction server

P Rydberg, DE Gloriam, L Olsen - Bioinformatics, 2010 - academic.oup.com
The SMARTCyp server is the first web application for site of metabolism prediction of
cytochrome P450-mediated drug metabolism. Availability: The SMARTCyp server is freely …

Prediction of cytochrome P450 mediated metabolism

L Olsen, C Oostenbrink, FS Jørgensen - Advanced drug delivery reviews, 2015 - Elsevier
Cytochrome P450 enzymes (CYPs) form one of the most important enzyme families involved
in the metabolism of xenobiotics. CYPs comprise many isoforms, which catalyze a wide …

Best of Both Worlds: Combining Pharma Data and State of the Art Modeling Technology To Improve in Silico pKa Prediction

R Fraczkiewicz, M Lobell, AH Göller… - Journal of chemical …, 2015 - ACS Publications
In a unique collaboration between a software company and a pharmaceutical company, we
were able to develop a new in silico p K a prediction tool with outstanding prediction quality …

Semiempirical quantum-chemical methods with orthogonalization and dispersion corrections

PO Dral, X Wu, W Thiel - Journal of Chemical Theory and …, 2019 - ACS Publications
We present two new semiempirical quantum-chemical methods with orthogonalization and
dispersion corrections: ODM2 and ODM3 (ODM x). They employ the same electronic …

Computational chemistry in the pharmaceutical industry: from childhood to adolescence

A Hillisch, N Heinrich, H Wild - ChemMedChem, 2015 - Wiley Online Library
Computational chemistry within the pharmaceutical industry has grown into a field that
proactively contributes to many aspects of drug design, including target selection and lead …

[PDF][PDF] Predicting ADME properties of chemicals

HK Shin, YM Kang, KT No - Handbook of computational …, 2017 - researchgate.net
Since many drug development projects fail during clinical trials due to poor ADME
properties, it is a wise practice to introduce ADME tests at the early stage of drug discovery …