SKM 2023 –
            
              wissenschaftliches Programm
            
          
        
        
        
        
        
      
      
  
    
  
  BP 3: Computational Biophysics I
  Montag, 27. März 2023, 09:30–13:00, BAR 0106
  
    
  
  
    
      
        
          
            
              |  | 09:30 | BP 3.1 | Elucidating the Binding Process of a Disordered Protein to a Membrane Containing Ionic Lipids via Atomistic Simulations: a Case Study of LKB1 — •Azadeh Alavizargar and Andreas Heuer | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 09:45 | BP 3.2 | Migration of oxygen in the human bc1 complex and the behavior of QH2 and Q cofactors inside it — •Katarina Kretschmer, Malena Kottke, and Ilia Solov'yov | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 10:00 | BP 3.3 | On the road to cellular digital twins of in vivo tumors — •Eric Behle, Julian Herold, and Alexander Schug | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 10:15 | BP 3.4 | Resolving hierarchical interactions of proteins in phase-separated condensates by multi-scale simulations — •Lukas Stelzl, Kumar Gaurav, Xiaofei Ping, Arya Changiarath Sivadasan, René Ketting, and Dorothee Dormann | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 10:30 | BP 3.5 | Hauptvortrag:
            
            
              
                Resolving gating and allosteric modulation in ion channels through simulations and small-angle neutron scattering — •Erik Lindahl | 
        
          |  |  | 
      
    
      
        
          
            |  | 11:00 |  | 15 min. break | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 11:15 | BP 3.6 | Clustering Molecular Dynamics Trajectories using Density and Flux — •Jayashrita Debnath and Gerhard Hummer | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 11:30 | BP 3.7 | Enhancing Traction-Force Microscopy with Machine Learning — •Felix S. Kratz, Lars Möllerherm, and Jan Kierfeld | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 11:45 | BP 3.8 | Finding pathways in molecular dynamics simulations using machine learning and graph methods — •Steffen Wolf, Miriam Jäger, Victor Tänzel, Simon Bray, Matthias Post, and Gerhard Stock | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 12:00 | BP 3.9 | Artificial Intelligence for Molecular Mechanism Discovery — •Hendrik Jung, Roberto Covino, A Arjun, Christian Leitold, Peter G Bolhuis, Christoph Dellago, and Gerhard Hummer | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 12:15 | BP 3.10 | MD simulations of n-alkanes in a phospholipid bilayer: CHARMM36 vs. Slipids — •Anika Wurl and Tiago Ferreira | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 12:30 | BP 3.11 | Scission criteria upon proteins X-ray absorption — •Carlos Ortiz-Mahecha, Lucas Schwob, Sadia Bari, and Robert Meissner | 
        
          |  |  | 
      
    
      
        
          
            
              |  | 12:45 | BP 3.12 | Fluid defomable surfaces, the influence of surface viscosity in fluid membranes — Veit Krause and •Axel Voigt | 
        
          |  |  |