Florian Nigsch
Florian Nigsch
Associate Director Data Science, Novartis Institutes for BioMedical Research
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Total synthesis of (+)-crocacin D
LC Dias, LG de Oliveira, JD Vilcachagua, F Nigsch
The Journal of Organic Chemistry 70 (6), 2225-2234, 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
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
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
Predicting the mechanism of phospholipidosis
R Lowe, HY Mussa, F Nigsch, RC Glen, JBO Mitchell
Journal of cheminformatics 4, 1-9, 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
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
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
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
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
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
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