Friedrich Rippmann

25 papers A* 1Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data-driven federated learning in drug discovery with knowledge distillation.
Nat. Mac. Intell.
Thierry Hanser, Ernst Ahlberg, Alexander Amberg, Lennart T. Anger, Chris Barber, Richard J. Brennan, Alessandro Brigo, Annie Delaunois, Susanne Glowienke, Nigel Greene, Laura Johnston, Daniel Kuhn, Lara Kuhnke, Jean-François Marchaland, Wolfgang Muster, Jeffrey Plante, Friedrich Rippmann, Yogesh Sabnis, K. Friedemann Schmidt, Ruud van Deursen, Stéphane Werner, Angela White, Jörg Wichard, Tomoya Yukawa
2024 J jnl
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.
J. Chem. Inf. Model.
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
2023 A* conf
Context-enriched molecule representations improve few-shot drug discovery.
ICLR
Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
2023 J jnl
Context-enriched molecule representations improve few-shot drug discovery.
CoRR
Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
2022 J jnl
KiSSim: Predicting Off-Targets from Structural Similarities in the Kinome.
J. Chem. Inf. Model.
Dominique Sydow, Eva Aßmann, Albert J. Kooistra, Friedrich Rippmann, Andrea Volkamer
2020 J jnl
Large-Scale Assessment of Binding Free Energy Calculations in Active Drug Discovery Projects.
J. Chem. Inf. Model.
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
2019 J jnl
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
Thierry Hanser, Fabian P. Steinmetz, Jeffrey Plante, Friedrich Rippmann, Mireille Krier
2019 J jnl
Interpretable Deep Learning in Drug Discovery.
CoRR
Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
2019 — ch.
Interpretable Deep Learning in Drug Discovery.
Explainable AI
Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
2018 J jnl
Relative binding affinity prediction of farnesoid X receptor in the D3R Grand Challenge 2 using FEP+.
J. Comput. Aided Mol. Des.
Christina E. M. Schindler, Friedrich Rippmann, Daniel Kuhn
2017 J jnl
Coupling Matched Molecular Pairs with Machine Learning for Virtual Compound Optimization.
J. Chem. Inf. Model.
Samo Turk, Benjamin Merget, Friedrich Rippmann, Simone Fulle
2017 J jnl
KinMap: a web-based tool for interactive navigation through human kinome data.
BMC Bioinform.
Sameh Eid, Samo Turk, Andrea Volkamer, Friedrich Rippmann, Simone Fulle
2016 J jnl
Identification and Visualization of Kinase-Specific Subpockets.
J. Chem. Inf. Model.
Andrea Volkamer, Sameh Eid, Samo Turk, Friedrich Rippmann, Simone Fulle
2015 J jnl
Pocketome of Human Kinases: Prioritizing the ATP Binding Sites of (Yet) Untapped Protein Kinases for Drug Discovery.
J. Chem. Inf. Model.
Andrea Volkamer, Sameh Eid, Samo Turk, Sabrina Jaeger, Friedrich Rippmann, Simone Fulle
2013 J jnl
Protein pocket and ligand shape comparison and its application in virtual screening.
J. Comput. Aided Mol. Des.
Matthias Wirth, Andrea Volkamer, Vincent Zoete, Friedrich Rippmann, Olivier Michielin, Matthias Rarey, Wolfgang H. B. Sauer
2013 J jnl
TRAPP: A Tool for Analysis of
J. Chem. Inf. Model.
Daria B. Kokh, Stefan Richter, Stefan Henrich, Paul Czodrowski, Friedrich Rippmann, Rebecca C. Wade
2012 J jnl
Combining Global and Local Measures for Structure-Based Druggability Predictions.
J. Chem. Inf. Model.
Andrea Volkamer, Daniel Kuhn, Thomas Grombacher, Friedrich Rippmann, Matthias Rarey
2012 J jnl
DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment.
Bioinform.
Andrea Volkamer, Daniel Kuhn, Friedrich Rippmann, Matthias Rarey
2011 J jnl
A Normal Mode-Based Geometric Simulation Approach for Exploring Biologically Relevant Conformational Transitions in Proteins.
J. Chem. Inf. Model.
Aqeel Ahmed, Friedrich Rippmann, Gerhard Barnickel, Holger Gohlke
2011 J jnl
Pharmacophore alignment search tool: Influence of the third dimension on text-based similarity searching.
J. Comput. Chem.
Volker Hähnke, Alexander Klenner, Friedrich Rippmann, Gisbert Schneider
2010 J jnl
Pharmacophore alignment search tool: Influence of canonical atom labeling on similarity searching.
J. Comput. Chem.
Volker Hähnke, Matthias Rupp, Mireille Krier, Friedrich Rippmann, Gisbert Schneider
2005 J jnl
Integrated bioinformatics application for automated target discovery.
J. Assoc. Inf. Sci. Technol.
Luca Toldo, Friedrich Rippmann
1999 J jnl
Metacomputing in practice: a distributed compute server for pharmaceutical industry.
Future Gener. Comput. Syst.
Robert Bywater, Jörn Gehring, Alexander Reinefeld, Friedrich Rippmann, Anke Weber
1997 J jnl
BALI: Automatic Assignment of Bond and Atom Types for Protein Ligands in the Brookhaven Protein Databank.
J. Chem. Inf. Comput. Sci.
Manfred Hendlich, Friedrich Rippmann, Gerhard Barnickel
1996 — conf
ReLiBase - An Object-Oriented Comprehensive Receptor/Ligand Database.
German Conference on Bioinformatics
Manfred Hendlich, Friedrich Rippmann, Gerhard Barnickel, Klemens Hemm, Karl Aberer