Principal investigator
Dr. Ariane Nunes Alves
Administrative support
Petra Erdmann
Maria Bülth
Researchers
Dr. Iris Guo (postdoctoral researcher, 2023)
Farzin Sohraby (PhD student, 2022)
Apoorva Mathur (PhD student, 2023)
Daniil Lepikhov (PhD student, 2023)
Laura Sandner (master student, 2024)
Max von Graevenitz (master internship, 2024)
Melek Bittermann (master internship, 2024)
Ali Akbar Hasnain (bachelor student, 2024)
Syed Wasiq Saifi (bachelor student, 2024)
Visiting researchers
Helena Girame Rizzo (PhD student at University of Girona, Spain, 2024)
Former members
Researchers
Mariona Canela (bachelor student, 2024)
- thesis: Mechanistic insights about the effects of molecular glues over protein-protein complexes
Ron Maier (bachelor student, 2024)
- thesis: In silico Modellierung zur Untersuchung der Wechselwirkungen von β-Lactoglobulin mit phenolischen Verbindungen unter Einfluss unterschiedlicher pH-Werte
Charlotte Radelof (master student, 2023-2024)
- thesis: Building machine learning models to classify HSP90 inhibitors
Naila Azizah (master internship, 2024)
Tobias Klemp (master internship, 2024)
Nada Salsabila (master internship, 2023-2024)
Louis Kreienbaum (master student, 2023)
- thesis: Machine learning based predictions for dissociation rate constants of HSP-90 inhibitors
Sarah Böning (master student, 2022-2023)
- thesis: Prediction of kinetic rates for the dissociation of protein-ligand complexes using machine learning
Ida Gerber (bachelor student, 2022-2023)
- thesis: In silico Modellierung zur Untersuchung der Wechselwirkung von β-Lactoglobulin mit phenolischen Verbindungen zur Reduktion der allergenen Wirkung
Mariona Canela (bachelor student, 2024)
- thesis: Mechanistic insights about the effects of molecular glues over protein-protein complexes
Ron Maier (bachelor student, 2024)
- thesis: In silico Modellierung zur Untersuchung der Wechselwirkungen von β-Lactoglobulin mit phenolischen Verbindungen unter Einfluss unterschiedlicher pH-Werte
Charlotte Radelof (master student, 2023-2024)
- thesis: Building machine learning models to classify HSP90 inhibitors
Naila Azizah (master internship, 2024)
Tobias Klemp (master internship, 2024)
Nada Salsabila (master internship, 2023-2024)
Louis Kreienbaum (master student, 2023)
- thesis: Machine learning based predictions for dissociation rate constants of HSP-90 inhibitors
Sarah Böning (master student, 2022-2023)
- thesis: Prediction of kinetic rates for the dissociation of protein-ligand complexes using machine learning
Ida Gerber (bachelor student, 2022-2023)
- thesis: In silico Modellierung zur Untersuchung der Wechselwirkung von β-Lactoglobulin mit phenolischen Verbindungen zur Reduktion der allergenen Wirkung
Visiting researchers
Vanessa Regina Miranda (PhD student at State University of Campinas, Brazil, 2024)
Michaela Cernekova (PhD student at University of Chemistry and Technology, Czech Republic, 2023)
Dr. Nikhil Agrawal (postdoctoral researcher at Latvian Institute of Organic Synthesis, Latvia, 2022)
Dheeraj Kumar Sarkar (PhD student at Adam Mickiewicz University, Poland, 2022)
Vanessa Regina Miranda (PhD student at State University of Campinas, Brazil, 2024)
Michaela Cernekova (PhD student at University of Chemistry and Technology, Czech Republic, 2023)
Dr. Nikhil Agrawal (postdoctoral researcher at Latvian Institute of Organic Synthesis, Latvia, 2022)
Dheeraj Kumar Sarkar (PhD student at Adam Mickiewicz University, Poland, 2022)