Publication type: Preprint / Author: Czodrowski, Paul / Organizational unit: FB 09 Chemie, Pharmazie, Geographie und Geowissenschaften and JGU - Universitätsbibliographie Search Results

Start Over Publication type Preprint Author Czodrowski, Paul Organizational unit FB 09 Chemie, Pharmazie, Geographie und Geowissenschaften Organizational unit JGU

1. Identification of Lysosomotropism using Explainable Machine Learning and Morphological Profiling Cell Painting Data

Autoren:: Tandon, Aishvarya; Santura, Anna; Pahl, Axel; Waldmann, Herbert; Czodrowski, Paul
Veröffentlichungsdatum:: 2023
Type:: Preprint

2. Identification of Lysosomotropism using Explainable Machine Learning and Morphological Profiling Cell Painting Data

Autoren:: Czodrowski, Paul; Tandon, Aishvarya; Santura, Anna; Pahl, Axel; Waldmann, Herbert
Veröffentlichungsdatum:: 2023
Type:: Preprint

3. Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches

Autoren:: Hazemann, Julien; Kimmerlin, Thierry; Lange, Roland; Sweeney, Aengus Mac; Bourquin, Geoffroy; Ritz, Daniel; Czodrowski, Paul
Veröffentlichungsdatum:: 2024
Type:: Preprint

4. FSL-CP: A Benchmark for Small Molecule Activity Few-Shot Prediction using Cell Microscopy Images

Autoren:: Ha, Son V; Leuschner, Lucas; Czodrowski, Paul
Veröffentlichungsdatum:: 2023
Type:: Preprint

5. VSFlow: an open-source ligand-based virtual screening tool

Autoren:: Jung, Sascha; Vatheuer, Helge; Czodrowski, Paul
Veröffentlichungsdatum:: 2022
Type:: Preprint

6. Targeting oncogenic KRasG13C with nucleotide-based covalent inhibitors

Autoren:: Goebel, Lisa; Kirschner, Tonia; Koska, Sandra; Rai, Amrita; Janning, Petra; Maffini, Stefano; Vatheuer, Helge; Czodrowski, Paul; Goody, Roger S; Müller, Matthias P; Rauh, Daniel
Veröffentlichungsdatum:: 2022
Type:: Preprint