| Aquaporin-9 protein is the primary route of hepatocyte glycerol uptake for glycerol gluconeogenesis in mice S Jelen, S Wacker, C Aponte-Santamaría, M Skott, A Rojek, U Johanson, ... Journal of Biological Chemistry 286 (52), 44319-44325, 2011 | 149 | 2011 |
| Toward a consensus model of the HERG potassium channel A Stary, SJ Wacker, L Boukharta, U Zachariae, Y Karimi‐Nejad, J Åqvist, ... ChemMedChem 5 (3), 455-467, 2010 | 74 | 2010 |
| The molecular mechanism of toxin-induced conformational changes in a potassium channel: relation to C-type inactivation U Zachariae, R Schneider, P Velisetty, A Lange, D Seeliger, SJ Wacker, ... Structure 16 (5), 747-754, 2008 | 62 | 2008 |
| The identification of novel, high affinity AQP9 inhibitors in an intracellular binding site SJ Wacker, C Aponte-Santamaría, P Kjellbom, S Nielsen, BL de Groot, ... Molecular membrane biology 30 (3), 246-260, 2013 | 42 | 2013 |
| Performance of machine learning algorithms for qualitative and quantitative prediction drug blockade of hERG1 channel S Wacker, SY Noskov Computational Toxicology 6, 55-63, 2018 | 41 | 2018 |
| Identification of Selective Inhibitors of the Potassium Channel Kv1.1–1.2(3) by High‐Throughput Virtual Screening and Automated Patch Clamp SJ Wacker, W Jurkowski, KJ Simmons, CWG Fishwick, AP Johnson, ... ChemMedChem 7 (10), 1775-1783, 2012 | 25 | 2012 |
| Microbiota alters the metabolome in an age-and sex-dependent manner in mice K Brown, CA Thomson, S Wacker, M Drikic, R Groves, V Fan, IA Lewis, ... Nature Communications 14 (1), 1348, 2023 | 17 | 2023 |
| Toward reducing hERG affinities for DAT inhibitors with a combined machine learning and molecular modeling approach KH Lee, AD Fant, J Guo, A Guan, J Jung, M Kudaibergenova, ... Journal of chemical information and modeling 61 (9), 4266-4279, 2021 | 14 | 2021 |
| Moving beyond descriptive studies: harnessing metabolomics to elucidate the molecular mechanisms underpinning host-microbiome phenotypes SL Bishop, M Drikic, S Wacker, YY Chen, AL Kozyrskyj, IA Lewis Mucosal Immunology 15 (6), 1071-1084, 2022 | 13 | 2022 |
| Systems and methods for predicting cardiotoxicity of molecular parameters of a compound based on machine learning algorithms S Noskov, S Wacker, D Henry, GUO Jiqing US Patent App. 15/737,246, 2018 | 13 | 2018 |
| Computational models for understanding of structure, function and pharmacology of the cardiac potassium channel Kv11. 1 (hERG) S Wacker, SY Noskov, LL Perissinotti Current Topics in Medicinal Chemistry 17 (23), 2681-2702, 2017 | 11 | 2017 |
| Computational determination of toxicity risks associated with a selection of approved drugs having demonstrated activity against COVID-19 M Aminpour, WEM Delgado, S Wacker, S Noskov, M Houghton, ... BMC Pharmacology and Toxicology 22, 1-20, 2021 | 10 | 2021 |
| Toward reducing hERG affinities for DAT inhibitors with a combined machine learning and molecular modeling approach AD Fant, S Wacker, J Jung, J Guo, AM Abramyan, HJ Duff, AH Newman, ... Biophysical Journal 116 (3), 562a, 2019 | 3 | 2019 |
| ◾ Aquaporins: Chemical Inhibition by Small Molecules VJ Huber, S Wacker, M Rützler Aquaporins in Health and Disease, 251-273, 2018 | 3* | 2018 |
| SCALiR: A Web Application for Automating Absolute Quantification of Mass Spectrometry-Based Metabolomics Data LF Ponce, SL Bishop, S Wacker, RA Groves, IA Lewis Analytical Chemistry, 2024 | | 2024 |
| Systems and methods for predicting cardiotoxicity of molecular parameters of a compound based on machine learning algorithms S Noskov, S Wacker, D Henry, GUO Jiqing US Patent App. 17/715,796, 2023 | | 2023 |
| SCALiR: a web application for automating absolute quantification of mass spectrometry-based metabolomics data SL Bishop, LF Ponce-Alvarez, S Wacker, RA Groves, IA Lewis bioRxiv, 2023 | | 2023 |
