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ORCIDFriedrich Rippmann
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2020 – today
- 2024
[j19]Wouter Heyndrickx
, Lewis H. Mervin, Tobias Morawietz, Noé Sturm, Lukas Friedrich, Adam Zalewski, Anastasia Pentina, Lina Humbeck, Martijn Oldenhof, Ritsuya Niwayama, Peter Schmidtke, Nikolas Fechner, Jaak Simm, Adam Arany, Nicolas Drizard, Rama Jabal, Arina Afanasyeva, Regis Loeb, Shlok Verma, Simon Harnqvist, Matthew Holmes, Balazs Pejo, Maria Telenczuk, Nicholas Holway, Arne Dieckmann, Nicola Rieke, Friederike Zumsande, Djork-Arné Clevert, Michael Krug, Christopher N. Luscombe, Darren V. S. Green, Peter Ertl, Peter Antal, David Marcus, Nicolas Do Huu, Hideyoshi Fuji, Stephen D. Pickett, Gergely Ács, Eric Boniface, Bernd Beck, Yax Sun, Arnaud Gohier, Friedrich Rippmann, Ola Engkvist, Andreas H. Göller, Yves Moreau, Mathieu N. Galtier, Ansgar Schuffenhauer, Hugo Ceulemans:
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 64(7): 2331-2344 (2024)- 2023
- [c2]Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer:
Context-enriched molecule representations improve few-shot drug discovery. ICLR 2023 - [i2]Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer:
Context-enriched molecule representations improve few-shot drug discovery. CoRR abs/2305.09481 (2023) - 2022
- [j18]Dominique Sydow, Eva Aßmann, Albert J. Kooistra, Friedrich Rippmann, Andrea Volkamer:
KiSSim: Predicting Off-Targets from Structural Similarities in the Kinome. J. Chem. Inf. Model. 62(10): 2600-2616 (2022) - 2020
- [j17]Christina E. M. Schindler, Hannah M. Baumann, Andreas Blum, Dietrich Böse, Hans-Peter Buchstaller, Lars Burgdorf, Daniel Cappel, Eugene Chekler, Paul Czodrowski, Dieter Dorsch, Merveille K. I. Eguida, Bruce Follows, Thomas Fuchß, Ulrich Grädler, Jakub Gunera, Theresa Johnson, Catherine Jorand Lebrun, Srinivasa Karra, Markus Klein, Tim Knehans, Lisa Koetzner, Mireille Krier, Matthias Leiendecker, Birgitta Leuthner, Liwei Li, Igor Mochalkin, Djordje Musil, Constantin Neagu, Friedrich Rippmann, Kai Schiemann, Robert Schulz, Thomas Steinbrecher, Eva-Maria Tanzer, Andrea Unzue Lopez, Ariele Viacava Follis, Ansgar Wegener, Daniel Kuhn:
Large-Scale Assessment of Binding Free Energy Calculations in Active Drug Discovery Projects. J. Chem. Inf. Model. 60(11): 5457-5474 (2020)
2010 – 2019
- 2019
- [j16]Thierry Hanser, Fabian P. Steinmetz, Jeffrey Plante, Friedrich Rippmann, Mireille Krier:
Avoiding hERG-liability in drug design via synergetic combinations of different (Q)SAR methodologies and data sources: a case study in an industrial setting. J. Cheminformatics 11(1): 9:1-9:13 (2019) - [p1]Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner:
Interpretable Deep Learning in Drug Discovery. Explainable AI 2019: 331-345 - [i1]Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner:
Interpretable Deep Learning in Drug Discovery. CoRR abs/1903.02788 (2019) - 2018
- [j15]Christina E. M. Schindler, Friedrich Rippmann, Daniel Kuhn:
Relative binding affinity prediction of farnesoid X receptor in the D3R Grand Challenge 2 using FEP+. J. Comput. Aided Mol. Des. 32(1): 265-272 (2018) - 2017
- [j14]Sameh Eid, Samo Turk, Andrea Volkamer, Friedrich Rippmann, Simone Fulle:
KinMap: a web-based tool for interactive navigation through human kinome data. BMC Bioinform. 18(1): 16:1-16:6 (2017) - [j13]Samo Turk, Benjamin Merget, Friedrich Rippmann, Simone Fulle:
Coupling Matched Molecular Pairs with Machine Learning for Virtual Compound Optimization. J. Chem. Inf. Model. 57(12): 3079-3085 (2017) - 2016
- [j12]Andrea Volkamer, Sameh Eid, Samo Turk, Friedrich Rippmann, Simone Fulle:
Identification and Visualization of Kinase-Specific Subpockets. J. Chem. Inf. Model. 56(2): 335-346 (2016) - 2015
- [j11]Andrea Volkamer, Sameh Eid, Samo Turk, Sabrina Jaeger, Friedrich Rippmann, Simone Fulle:
Pocketome of Human Kinases: Prioritizing the ATP Binding Sites of (Yet) Untapped Protein Kinases for Drug Discovery. J. Chem. Inf. Model. 55(3): 538-549 (2015) - 2013
- [j10]Matthias Wirth, Andrea Volkamer, Vincent Zoete, Friedrich Rippmann, Olivier Michielin, Matthias Rarey, Wolfgang H. B. Sauer:
Protein pocket and ligand shape comparison and its application in virtual screening. J. Comput. Aided Mol. Des. 27(6): 511-524 (2013) - [j9]Daria B. Kokh, Stefan Richter, Stefan Henrich, Paul Czodrowski, Friedrich Rippmann, Rebecca C. Wade:
TRAPP: A Tool for Analysis of Transient Binding Pockets in Proteins. J. Chem. Inf. Model. 53(5): 1235-1252 (2013) - 2012
- [j8]Andrea Volkamer, Daniel Kuhn, Friedrich Rippmann, Matthias Rarey:
DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment. Bioinform. 28(15): 2074-2075 (2012) - [j7]Andrea Volkamer, Daniel Kuhn, Thomas Grombacher, Friedrich Rippmann, Matthias Rarey:
Combining Global and Local Measures for Structure-Based Druggability Predictions. J. Chem. Inf. Model. 52(2): 360-372 (2012) - 2011
- [j6]Volker Hähnke, Alexander Klenner, Friedrich Rippmann, Gisbert Schneider:
Pharmacophore alignment search tool: Influence of the third dimension on text-based similarity searching. J. Comput. Chem. 32(8): 1618-1634 (2011) - [j5]Aqeel Ahmed, Friedrich Rippmann, Gerhard Barnickel, Holger Gohlke:
A Normal Mode-Based Geometric Simulation Approach for Exploring Biologically Relevant Conformational Transitions in Proteins. J. Chem. Inf. Model. 51(7): 1604-1622 (2011) - 2010
- [j4]Volker Hähnke, Matthias Rupp, Mireille Krier, Friedrich Rippmann, Gisbert Schneider:
Pharmacophore alignment search tool: Influence of canonical atom labeling on similarity searching. J. Comput. Chem. 31(15): 2810-2826 (2010)
2000 – 2009
- 2005
- [j3]Luca Toldo, Friedrich Rippmann:
Integrated bioinformatics application for automated target discovery. J. Assoc. Inf. Sci. Technol. 56(5): 483-492 (2005)
1990 – 1999
- 1999
- [j2]Robert Bywater, Jörn Gehring, Alexander Reinefeld, Friedrich Rippmann, Anke Weber:
Metacomputing in practice: a distributed compute server for pharmaceutical industry. Future Gener. Comput. Syst. 15(5-6): 769-785 (1999) - 1997
- [j1]Manfred Hendlich, Friedrich Rippmann, Gerhard Barnickel:
BALI: Automatic Assignment of Bond and Atom Types for Protein Ligands in the Brookhaven Protein Databank. J. Chem. Inf. Comput. Sci. 37(4): 774-778 (1997) - 1996
- [c1]Manfred Hendlich, Friedrich Rippmann, Gerhard Barnickel, Klemens Hemm, Karl Aberer:
ReLiBase - An Object-Oriented Comprehensive Receptor/Ligand Database. German Conference on Bioinformatics 1996: 35-39
Coauthor Index
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