Paul Czodrowski

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Molecular Docking

Machine Learning

Respiratory Syndrome Coronavirus

Top Venues

RSC medicinal chemistry

Journal of chemical information and modeling

Nature reviews. Drug discovery

This page only lists publications with an associated author ORCID identifier.

Publications

Julien Hazemann, Thierry Kimmerlin, Roland Lange, Aengus Mac Sweeney, Geoffroy Bourquin, Daniel Ritz, Paul Czodrowski
Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches. RSC medicinal chemistry 15 (6) (2024)
Aishvarya Tandon, Anna Santura, Herbert Waldmann, Axel Pahl, Paul Czodrowski
Identification of lysosomotropism using explainable machine learning and morphological profiling cell painting data. RSC medicinal chemistry 15 (8) (2024)
Aishvarya Tandon, Anna Santura, Herbert Waldmann, Axel Pahl, Paul Czodrowski
Identification of lysosomotropism using explainable machine learning and morphological profiling cell painting data. RSC medicinal chemistry 15 (8) (2024)
Julien Hazemann, Thierry Kimmerlin, Roland Lange, Aengus Mac Sweeney, Geoffroy Bourquin, Daniel Ritz, Paul Czodrowski
Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches. RSC medicinal chemistry 15 (6) (2024)
José-Manuel Gally, Axel Pahl, Paul Czodrowski, Herbert Waldmann
Pseudonatural Products Occur Frequently in Biologically Relevant Compounds. Journal of chemical information and modeling 61 (11) (2021)
Shubhendu Palei, Benjamin Buchmuller, Jan Wolffgramm, Álvaro Muñoz-Lopez, Sascha Jung, Paul Czodrowski, Daniel Summerer
Light-Activatable TET-Dioxygenases Reveal Dynamics of 5-Methylcytosine Oxidation and Transcriptome Reorganization. Journal of the American Chemical Society 142 (16) (2020)
Marcel Baltruschat, Paul Czodrowski
Machine learning meets pK a. F1000Research (2020)
Susanne Grunewald, Lillian R Klug, Thomas Mühlenberg, Jonas Lategahn, Johanna Falkenhorst, Ajia Town, Christiane Ehrt, Eva Wardelmann, Wolfgang Hartmann, Hans-Ulrich Schildhaus, Juergen Treckmann, Jonathan A Fletcher, Sascha Jung, Paul Czodrowski, Stephen Miller, Oleg Schmidt-Kittler, Daniel Rauh, Michael C Heinrich, Sebastian Bauer
Resistance to Avapritinib in PDGFRA-Driven GIST Is Caused by Secondary Mutations in the PDGFRA Kinase Domain. Cancer discovery 11 (1) (2020)
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. Journal of chemical information and modeling 60 (11) (2020)
Marcel Baltruschat, Paul Czodrowski
Machine learning meets pK a. F1000Research 9 (2020)
Niklas Uhlenbrock, Steven Smith, Jörn Weisner, Ina Landel, Marius Lindemann, Thien Anh Le, Julia Hardick, Rajesh Gontla, Rebekka Scheinpflug, Paul Czodrowski, Petra Janning, Laura Depta, Lena Quambusch, Matthias Philipp Müller, Bernd Engels, Daniel Rauh
Structural and chemical insights into the covalent-allosteric inhibition of the protein kinase Akt. Chemical science 10 (12) (2019)
Jessica Vamathevan, Dominic Clark, Paul Czodrowski, Ian Dunham, Edgardo Ferran, George Lee, Bin Li, Anant Madabhushi, Parantu Shah, Michaela Spitzer, Shanrong Zhao
Applications of machine learning in drug discovery and development. Nature reviews. Drug discovery 18 (6) (2019)