Ocello, Riccardo
  
(2019)
Characterizing the functional dynamics of the Leak Potassium channel h-TRAAK through Molecular Dynamics Simulations under physiological conditions, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. 
 Dottorato di ricerca in 
Scienze biotecnologiche e farmaceutiche, 31 Ciclo. DOI 10.6092/unibo/amsdottorato/8853.
  
 
  
  
        
        
        
  
  
  
  
  
  
  
    
  
    
      Documenti full-text disponibili:
      
        
          
            | ![Ocello-Riccardo_Tesi.pdf [thumbnail of Ocello-Riccardo_Tesi.pdf]](https://amsdottorato.unibo.it/style/images/fileicons/application_pdf.png) | Documento PDF (English)
 - Richiede un lettore di PDF come Xpdf o Adobe Acrobat Reader Disponibile con Licenza: Salvo eventuali più ampie autorizzazioni dell'autore, la tesi può essere liberamente consultata e può essere effettuato il salvataggio e la stampa di una copia per fini strettamente personali di studio, di ricerca e di insegnamento, con espresso divieto di qualunque utilizzo direttamente o indirettamente commerciale. Ogni altro diritto sul materiale è riservato.
 Download (7MB)
 | 
        
      
    
  
  
    
      Abstract
      Two Pore domain K+ channels (K2P) are a specific family of channels whose functionality is finely tuned by a rich ensemble of chemical and physical stimuli. The ionic currents produced by these proteins are usually referred as ‘’leak’’ or ‘’background’’ potassium currents because they stabilize the resting potential of membranes to highly negative values close to the K+ equilibrium potential. In particular, the human TRAAK channel (Twik Related Arachidonic Acid K+ channel) is influenced by chemicals (anesthetics or drugs), and physical agents (pH, temperature, membrane stretching or bending).
Although the firsts experimental findings date back to early ‘00 a full comprehension of the gating mechanism and ion transport is still missing. Among the most influential theories on gating, we mention the two states hypothesis suggested by MacKinnon thanks to the crystal structure availability. The existence of an atomistic model paved the way to furthers investigations, as well by using theoretical approaches.
In this context, exploiting in silico techniques belonging to computational biophysics, we provided a comprehensive characterization of the channel behaviour. Advanced simulating conditions were used, with the purpose of mimicking as close as possible the real protein behaviour, and some of those key-biases playing a modulation role of channel activity.
By using Molecular Dynamics simulations, several protocols were applied to simulate hTRAAK in presence of different conditions: i) membrane stretching, ii) ions concentration gradients, iii) applied electrostatic potential. These strategies were chosen to gain new insights into the putative conductive state of the channel, promoting the translocation of K+ ions through it.
     
    
      Abstract
      Two Pore domain K+ channels (K2P) are a specific family of channels whose functionality is finely tuned by a rich ensemble of chemical and physical stimuli. The ionic currents produced by these proteins are usually referred as ‘’leak’’ or ‘’background’’ potassium currents because they stabilize the resting potential of membranes to highly negative values close to the K+ equilibrium potential. In particular, the human TRAAK channel (Twik Related Arachidonic Acid K+ channel) is influenced by chemicals (anesthetics or drugs), and physical agents (pH, temperature, membrane stretching or bending).
Although the firsts experimental findings date back to early ‘00 a full comprehension of the gating mechanism and ion transport is still missing. Among the most influential theories on gating, we mention the two states hypothesis suggested by MacKinnon thanks to the crystal structure availability. The existence of an atomistic model paved the way to furthers investigations, as well by using theoretical approaches.
In this context, exploiting in silico techniques belonging to computational biophysics, we provided a comprehensive characterization of the channel behaviour. Advanced simulating conditions were used, with the purpose of mimicking as close as possible the real protein behaviour, and some of those key-biases playing a modulation role of channel activity.
By using Molecular Dynamics simulations, several protocols were applied to simulate hTRAAK in presence of different conditions: i) membrane stretching, ii) ions concentration gradients, iii) applied electrostatic potential. These strategies were chosen to gain new insights into the putative conductive state of the channel, promoting the translocation of K+ ions through it.
     
  
  
    
    
      Tipologia del documento
      Tesi di dottorato
      
      
      
      
        
      
        
          Autore
          Ocello, Riccardo
          
        
      
        
          Supervisore
          
          
        
      
        
          Co-supervisore
          
          
        
      
        
          Dottorato di ricerca
          
          
        
      
        
      
        
          Ciclo
          31
          
        
      
        
          Coordinatore
          
          
        
      
        
          Settore disciplinare
          
          
        
      
        
          Settore concorsuale
          
          
        
      
        
          Parole chiave
          K2P Channel Protein, Molecular Dynamics, physiological conditions
          
        
      
        
          URN:NBN
          
          
        
      
        
          DOI
          10.6092/unibo/amsdottorato/8853
          
        
      
        
          Data di discussione
          28 Marzo 2019
          
        
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Tesi di dottorato
      
      
      
      
        
      
        
          Autore
          Ocello, Riccardo
          
        
      
        
          Supervisore
          
          
        
      
        
          Co-supervisore
          
          
        
      
        
          Dottorato di ricerca
          
          
        
      
        
      
        
          Ciclo
          31
          
        
      
        
          Coordinatore
          
          
        
      
        
          Settore disciplinare
          
          
        
      
        
          Settore concorsuale
          
          
        
      
        
          Parole chiave
          K2P Channel Protein, Molecular Dynamics, physiological conditions
          
        
      
        
          URN:NBN
          
          
        
      
        
          DOI
          10.6092/unibo/amsdottorato/8853
          
        
      
        
          Data di discussione
          28 Marzo 2019
          
        
      
      URI
      
      
     
   
  
  
  
  
  
    
    Statistica sui download
    
    
  
  
    
      Gestione del documento: 
      
        