Friedrich Rippmann

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 12

Top Topics

Grand Challenges

Top Venues

J. Chem. Inf. Model.

J. Cheminformatics

Publications

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) (2024)
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)
Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
Context-enriched molecule representations improve few-shot drug discovery. CoRR (2023)
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) (2022)
Christina E. M. Schindler, Hannah 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) (2020)
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) (2019)
Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
Interpretable Deep Learning in Drug Discovery. CoRR (2019)
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) (2018)
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) (2017)
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) (2017)
Andrea Volkamer, Sameh Eid, Samo Turk, Friedrich Rippmann, Simone Fulle
Identification and Visualization of Kinase-Specific Subpockets. J. Chem. Inf. Model. 56 (2) (2016)
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) (2015)
Daria B. Kokh, Stefan Richter, Stefan Henrich, Paul Czodrowski, Friedrich Rippmann, Rebecca C. Wade
roteins. J. Chem. Inf. Model. 53 (5) (2013)
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) (2013)
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) (2012)
Andrea Volkamer, Daniel Kuhn, Friedrich Rippmann, Matthias Rarey
DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment. Bioinform. 28 (15) (2012)
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) (2011)
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) (2011)
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) (2010)
Luca Toldo, Friedrich Rippmann
Integrated bioinformatics application for automated target discovery. J. Assoc. Inf. Sci. Technol. 56 (5) (2005)
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) (1999)
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) (1997)
Manfred Hendlich, Friedrich Rippmann, Gerhard Barnickel, Klemens Hemm, Karl Aberer
ReLiBase - An Object-Oriented Comprehensive Receptor/Ligand Database. German Conference on Bioinformatics (1996)