| LIGSITE: automatic and efficient detection of potential small molecule-binding sites in proteins M Hendlich, F Rippmann, G Barnickel Journal of Molecular Graphics and Modelling 15 (6), 359-363, 1997 | 867 | 1997 |
| DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment A Volkamer, D Kuhn, F Rippmann, M Rarey Bioinformatics 28 (15), 2074-2075, 2012 | 476 | 2012 |
| Combining global and local measures for structure-based druggability predictions A Volkamer, D Kuhn, T Grombacher, F Rippmann, M Rarey Journal of chemical information and modeling 52 (2), 360-372, 2012 | 461 | 2012 |
| KinMap: a web-based tool for interactive navigation through human kinome data S Eid, S Turk, A Volkamer, F Rippmann, S Fulle BMC bioinformatics 18, 1-6, 2017 | 273 | 2017 |
| A hypothetical model for the peptide binding domain of hsp70 based on the peptide binding domain of HLA. F Rippmann, WR Taylor, JB Rothbard, NM Green The EMBO Journal 10 (5), 1053-1059, 1991 | 257 | 1991 |
| Computational approaches to identifying and characterizing protein binding sites for ligand design S Henrich, OMH Salo‐Ahen, B Huang, FF Rippmann, G Cruciani, ... Journal of Molecular Recognition: An Interdisciplinary Journal 23 (2), 209-219, 2010 | 251 | 2010 |
| Thiopeptide-supported lipid layers on solid substrates N Bunjes, Schmidt, E K., A Jonczyk, F Rippmann, D Beyer, H Ringsdorf, ... Langmuir 13 (23), 6188 -6194, 1997 | 201 | 1997 |
| Large-scale assessment of binding free energy calculations in active drug discovery projects CEM Schindler, H Baumann, A Blum, D Böse, HP Buchstaller, ... Journal of Chemical Information and Modeling 60 (11), 5457-5474, 2020 | 179 | 2020 |
| An active-site mutation in the human immunodeficiency virus type 1 proteinase (PR) causes reduced PR activity and loss of PR-mediated cytotoxicity without apparent effect on … J Konvalinka, MA Litterst, R Welker, H Kottler, F Rippmann, AM Heuser, ... Journal of virology 69 (11), 7180-7186, 1995 | 135 | 1995 |
| Interpretable deep learning in drug discovery K Preuer, G Klambauer, F Rippmann, S Hochreiter, T Unterthiner Explainable AI: interpreting, explaining and visualizing deep learning, 331-345, 2019 | 121 | 2019 |
| Profiling prediction of kinase inhibitors: toward the virtual assay B Merget, S Turk, S Eid, F Rippmann, S Fulle Journal of medicinal chemistry 60 (1), 474-485, 2017 | 114 | 2017 |
| TRAPP: A Tool for Analysis of Transient Binding Pockets in Proteins DB Kokh, S Richter, S Henrich, P Czodrowski, F Rippmann, RC Wade Journal of chemical information and modeling 53 (5), 1235-1252, 2013 | 75 | 2013 |
| A normal mode-based geometric simulation approach for exploring biologically relevant conformational transitions in proteins A Ahmed, F Rippmann, G Barnickel, H Gohlke Journal of Chemical Information and Modeling 51 (7), 1604-1622, 2011 | 73 | 2011 |
| Short linear motif candidates in the cell entry system used by SARS-CoV-2 and their potential therapeutic implications B Mészáros, H Sámano-Sánchez, J Alvarado-Valverde, J Čalyševa, ... Science signaling 14 (665), eabd0334, 2021 | 68 | 2021 |
| Mechanism of praziquantel action at a parasitic flatworm ion channel SK Park, L Friedrich, NA Yahya, CM Rohr, EG Chulkov, D Maillard, ... Science translational medicine 13 (625), eabj5832, 2021 | 59 | 2021 |
| TRAPP webserver: predicting protein binding site flexibility and detecting transient binding pockets A Stank, DB Kokh, M Horn, E Sizikova, R Neil, J Panecka, S Richter, ... Nucleic acids research 45 (W1), W325-W330, 2017 | 52 | 2017 |
| BALI: automatic assignment of bond and atom types for protein ligands in the brookhaven protein databank M Hendlich, F Rippmann, G Barnickel Journal of chemical information and computer sciences 37 (4), 774-778, 1997 | 50 | 1997 |
| Pocketome of human kinases: prioritizing the ATP binding sites of (yet) untapped protein kinases for drug discovery A Volkamer, S Eid, S Turk, S Jaeger, F Rippmann, S Fulle Journal of chemical information and modeling 55 (3), 538-549, 2015 | 42 | 2015 |
| The application of a multistage model that incorporates DNA damage and repair to the analysis of initiation/promotion experiments A Kopp-Schneider, P Chris J, F Rippmann Mathemat. Biosciences 105 (2), 139-166, 1991 | 37 | 1991 |
| Perturbation approaches for exploring protein binding site flexibility to predict transient binding pockets DB Kokh, P Czodrowski, F Rippmann, RC Wade Journal of Chemical Theory and Computation 12 (8), 4100-4113, 2016 | 36 | 2016 |
