Friedrich Rippmann

According to our database, Friedrich Rippmann authored at least 23 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.

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

J. Chem. Inf. Model., 2024

2023

Context-enriched molecule representations improve few-shot drug discovery.

Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

KiSSim: Predicting Off-Targets from Structural Similarities in the Kinome.

Dominique Sydow, Eva Aßmann, Albert J. Kooistra, Friedrich Rippmann, Andrea Volkamer

J. Chem. Inf. Model., 2022

2020

Large-Scale Assessment of Binding Free Energy Calculations in Active Drug Discovery Projects.

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

J. Chem. Inf. Model., 2020

2019

Interpretable Deep Learning in Drug Discovery.

Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner

Proceedings of the Explainable AI: Interpreting, 2019

Avoiding hERG-liability in drug design via synergetic combinations of different (Q)SAR methodologies and data sources: a case study in an industrial setting.

Thierry Hanser, Fabian P. Steinmetz, Jeffrey Plante, Friedrich Rippmann, Mireille Krier

J. Cheminformatics, 2019

Interpretable Deep Learning in Drug Discovery.

Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner

CoRR, 2019

2018

Relative binding affinity prediction of farnesoid X receptor in the D3R Grand Challenge 2 using FEP+.

Christina E. M. Schindler, Friedrich Rippmann, Daniel Kuhn

J. Comput. Aided Mol. Des., 2018

2017

Coupling Matched Molecular Pairs with Machine Learning for Virtual Compound Optimization.

Samo Turk, Benjamin Merget, Friedrich Rippmann, Simone Fulle

J. Chem. Inf. Model., December, 2017

KinMap: a web-based tool for interactive navigation through human kinome data.

Sameh Eid, Samo Turk, Andrea Volkamer, Friedrich Rippmann, Simone Fulle

BMC Bioinform., 2017

2016

Identification and Visualization of Kinase-Specific Subpockets.

Andrea Volkamer, Sameh Eid, Samo Turk, Friedrich Rippmann, Simone Fulle

J. Chem. Inf. Model., 2016

2015

Pocketome of Human Kinases: Prioritizing the ATP Binding Sites of (Yet) Untapped Protein Kinases for Drug Discovery.

Andrea Volkamer, Sameh Eid, Samo Turk, Sabrina Jaeger, Friedrich Rippmann, Simone Fulle

J. Chem. Inf. Model., 2015

2013

TRAPP: A Tool for Analysis of <i>Tra</i>nsient Binding <i>P</i>ockets in <i>P</i>roteins.

Daria B. Kokh, Stefan Richter, Stefan Henrich, Paul Czodrowski, Friedrich Rippmann, Rebecca C. Wade

J. Chem. Inf. Model., 2013

Protein pocket and ligand shape comparison and its application in virtual screening.

Matthias Wirth, Andrea Volkamer, Vincent Zoete, Friedrich Rippmann, Olivier Michielin, Matthias Rarey, Wolfgang H. B. Sauer

J. Comput. Aided Mol. Des., 2013

2012

Combining Global and Local Measures for Structure-Based Druggability Predictions.

Andrea Volkamer, Daniel Kuhn, Thomas Grombacher, Friedrich Rippmann, Matthias Rarey

J. Chem. Inf. Model., 2012

DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment.

Andrea Volkamer, Daniel Kuhn, Friedrich Rippmann, Matthias Rarey

Bioinform., 2012

2011

A Normal Mode-Based Geometric Simulation Approach for Exploring Biologically Relevant Conformational Transitions in Proteins.

Aqeel Ahmed, Friedrich Rippmann, Gerhard Barnickel, Holger Gohlke

J. Chem. Inf. Model., 2011

Pharmacophore alignment search tool: Influence of the third dimension on text-based similarity searching.

Volker Hähnke, Alexander Klenner, Friedrich Rippmann, Gisbert Schneider

J. Comput. Chem., 2011

2010

Pharmacophore alignment search tool: Influence of canonical atom labeling on similarity searching.

Volker Hähnke, Matthias Rupp, Mireille Krier, Friedrich Rippmann, Gisbert Schneider

J. Comput. Chem., 2010

2005

Integrated bioinformatics application for automated target discovery.

Luca Toldo, Friedrich Rippmann

J. Assoc. Inf. Sci. Technol., 2005

1999

Metacomputing in practice: a distributed compute server for pharmaceutical industry.

Robert Bywater, Jörn Gehring, Alexander Reinefeld, Friedrich Rippmann, Anke Weber

Future Gener. Comput. Syst., 1999

1997

BALI: Automatic Assignment of Bond and Atom Types for Protein Ligands in the Brookhaven Protein Databank.

Manfred Hendlich, Friedrich Rippmann, Gerhard Barnickel

J. Chem. Inf. Comput. Sci., 1997

1996

ReLiBase - An Object-Oriented Comprehensive Receptor/Ligand Database.

Manfred Hendlich, Friedrich Rippmann, Gerhard Barnickel, Klemens Hemm, Karl Aberer

Proceedings of the German Conference on Bioinformatics, 1996