| Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information I Sushko, S Novotarskyi, R Körner, AK Pandey, M Rupp, W Teetz, ... Journal of computer-aided molecular design 25, 533-554, 2011 | 484 | 2011 |
| Cell types of the human retina and its organoids at single-cell resolution CS Cowan, M Renner, M De Gennaro, B Gross-Scherf, D Goldblum, ... Cell 182 (6), 1623-1640. e34, 2020 | 218 | 2020 |
| The RSPO–LGR4/5–ZNRF3/RNF43 module controls liver zonation and size L Planas-Paz, V Orsini, L Boulter, D Calabrese, M Pikiolek, F Nigsch, ... Nature cell biology 18 (5), 467-479, 2016 | 216 | 2016 |
| Why are some properties more difficult to predict than others? A study of QSPR models of solubility, melting point, and Log P LD Hughes, DS Palmer, F Nigsch, JBO Mitchell Journal of chemical information and modeling 48 (1), 220-232, 2008 | 200 | 2008 |
| Melting point prediction employing k-nearest neighbor algorithms and genetic parameter optimization F Nigsch, A Bender, B van Buuren, J Tissen, E Nigsch, JBO Mitchell Journal of chemical information and modeling 46 (6), 2412-2422, 2006 | 200 | 2006 |
| Rethinking molecular similarity: comparing compounds on the basis of biological activity PM Petrone, B Simms, F Nigsch, E Lounkine, P Kutchukian, A Cornett, ... ACS chemical biology 7 (8), 1399-1409, 2012 | 147 | 2012 |
| High-resolution chemical dissection of a model eukaryote reveals targets, pathways and gene functions D Hoepfner, SB Helliwell, H Sadlish, S Schuierer, I Filipuzzi, S Brachat, ... Microbiological research 169 (2-3), 107-120, 2014 | 145 | 2014 |
| YAP, but not RSPO-LGR4/5, signaling in biliary epithelial cells promotes a ductular reaction in response to liver injury L Planas-Paz, T Sun, M Pikiolek, NR Cochran, S Bergling, V Orsini, ... Cell stem cell 25 (1), 39-53. e10, 2019 | 129 | 2019 |
| Ligand-target prediction using Winnow and naive Bayesian algorithms and the implications of overall performance statistics F Nigsch, A Bender, JL Jenkins, JBO Mitchell Journal of chemical information and modeling 48 (12), 2313-2325, 2008 | 124 | 2008 |
| Total synthesis of (+)-crocacin D LC Dias, LG de Oliveira, JD Vilcachagua, F Nigsch The Journal of Organic Chemistry 70 (6), 2225-2234, 2005 | 85 | 2005 |
| Complementary activities of DOT1L and Menin inhibitors in MLL-rearranged leukemia C Dafflon, VJ Craig, H Mereau, J Gräsel, B Schacher Engstler, G Hoffman, ... Leukemia 31 (6), 1269-1277, 2017 | 79 | 2017 |
| Computational toxicology: an overview of the sources of data and of modelling methods F Nigsch, NJM Macaluso, JBO Mitchell, D Zmuidinavicius Expert Opinion on Drug Metabolism & Toxicology 5 (1), 1-14, 2009 | 77 | 2009 |
| Genome-wide CRISPR screen for PARKIN regulators reveals transcriptional repression as a determinant of mitophagy C Potting, C Crochemore, F Moretti, F Nigsch, I Schmidt, C Manneville, ... Proceedings of the National Academy of Sciences 115 (2), E180-E189, 2018 | 73 | 2018 |
| Predicting the mechanism of phospholipidosis R Lowe, HY Mussa, F Nigsch, RC Glen, JBO Mitchell Journal of cheminformatics 4, 1-9, 2012 | 72 | 2012 |
| Recent trends and observations in the design of high-quality screening collections S Renner, M Popov, A Schuffenhauer, HJ Roth, W Breitenstein, ... Future medicinal chemistry 3 (6), 751-766, 2011 | 57 | 2011 |
| A comparative transcriptomic analysis of replicating and dormant liver stages of the relapsing malaria parasite Plasmodium cynomolgi A Voorberg-van der Wel, G Roma, DK Gupta, S Schuierer, F Nigsch, ... Elife 6, e29605, 2017 | 56 | 2017 |
| Evidence-based and quantitative prioritization of tool compounds in phenotypic drug discovery Y Wang, A Cornett, FJ King, Y Mao, F Nigsch, CG Paris, G McAllister, ... Cell chemical biology 23 (7), 862-874, 2016 | 53 | 2016 |
| Simultaneous feature selection and parameter optimisation using an artificial ant colony: case study of melting point prediction NM O'Boyle, DS Palmer, F Nigsch, JBO Mitchell Chemistry Central Journal 2 (1), 1-15, 2008 | 47 | 2008 |
| A novel hybrid ultrafast shape descriptor method for use in virtual screening EO Cannon, F Nigsch, JBO Mitchell Chemistry Central Journal 2, 1-9, 2008 | 41 | 2008 |
| Analysis of iterative screening with stepwise compound selection based on Novartis in-house HTS data S Paricharak, AP IJzerman, A Bender, F Nigsch ACS chemical biology 11 (5), 1255-1264, 2016 | 38 | 2016 |
Jeremy L. JenkinsUS Head Chemical Biology & Therapeutics, Novartis Institutes for BioMedical ResearchVerified email at novartis.com
