Skip to main content
Skip to navigation
Skip to footer
de
en
Institute of Neurosciences and Medicine (INM)
Computational Biomedicine (INM-9)
News
See Overview News
Announcements
Events
▾
Seminars
▾
Conferences
Focus
Research
See Overview Research
Signal cascade at the synapse
▾
Synapse proteome
▾
Mesoscale modeling
▾
Structural Systems Biology
Advances in molecular simulations
▾
Massively parallel QM/MM
▾
MM/CG approach
▾
Enhanced sampling
▾
Kinetics calculations
▾
Machine-learning-accelerated molecular simulations
▾
Structural neuroinformatics
▾
Computational mass spectrometry
▾
Graph-based algorithms for dynamic hydrogen-bond networks
▾
Other applications
Digital neuropharmacology
▾
Pain and neuroinflammation
▾
Neurodegeneration and neuropathologies
▾
Human Brain Project
▾
SARS-CoV-2
▾
Digital Patients
▾
Novel approaches for digital pharmacology
Multiscale Modeling and Simulations of Subneuronal Signaling
Dissemination
See Overview Dissemination
Publications
Codes
Webservers
Career
See Overview Career
Postdoc positions
Ph.D positions
Bachelor and Master theses
About
See Overview About
Profile
Staff
Collaborations
How to reach us
/
News
/
Events
/
Seminars
/
Past seminars
/
2022
/
Presentations
/
Network analysis proteomic data – pitfalls and benefits of building protein-protein interaction networks
Network analysis proteomic data – pitfalls and benefits of building protein-protein interaction networks
Armstrong's Talk
Armstrong.pdf
(PDF / 14MB)
Last Modified: 12.06.2024
