All students of the BUA partners Freie Universität Berlin, Humboldt-Universität zu Berlin, Technische Universität Berlin and Charité – Universitätsmedizin Berlin can participate in X-Student Research Groups. Please note the information on how to register for an X-Student Research Group.

Recognition of credits:

Students of Humboldt-Universität zu Berlin, Technische Universität Berlin and Charité – Universitätsmedizin Berlin can have X-Student Research Groups recognized in the interdisciplinary compulsory elective area (üWP) / in the free elective area or in the compulsory elective area. General information on the recognition of X-Student Research Groups can be found at: Recognition of participation in an X-Student Research Group.

Bachelor's students at Freie Universität Berlin can have X-Student Research Groups recognized in the ABV skills area “Research Practices" ("Forschungsorientierung"). Recognition outside the ABV area must be clarified individually with the responsible examination board. You can find more information at: Recognition of competencies acquired in BUA courses at Freie Universität Berlin.

• Module description for X-Student Research Groups (German)
• Further information on StuROP^x on the website of the Berlin University Alliance

Schließen

Kinases remain at the forefront of drug discovery due to their central role in cell regulation and disease. Building on our foundational work from the previous semester—where we simulated the human kinome and its water network using molecular dynamics simulations, developed standardised analyses and comparative methods—this module shifts this semester towards application-oriented case studies.

Literature research, defining research questions but also practical skills in coding and data visualization will be a core focus, supported by hands-on training in molecular simulations and visualization approaches in Python. Students will also apply advanced techniques to analyze large-scale simulation outputs, contributing to a growing database of kinome-related findings.

This course is open to Bachelor’s and Master’s students from natural or computational sciences (biology, pharmacy, chemistry, bioinformatics, computer science, etc.). No prior experience is required.

First meeting
https://fu-berlin.webex.com/fu-berlin-en/j.php?MTID=ma815af346d51e738ca3c164f5a6786de
Meeting number: 2780 866 7916
Password: First-meeting

Institutional affiliation: Fachbereich Biologie, Chemie, Pharmazie, Institut für Chemie und Biochemie

Contact: leon.obendorf@fu-berlin.de