Molecular dynamics simulations with replica-averaged structural restraints generate structural ensembles according to the maximum entropy principle
      
      
        
      
      
      
      
        
          
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Cavalli, Andrea
  Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom - Institute for Research in Biomedicine (IRB), Faculty of Biomedical Sciences, Università della Svizzera italiana, Switzerland
          
 
          
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Camilloni, Carlo
  Institute for Research in Biomedicine (IRB), Faculty of Biomedical Sciences, Università della Svizzera italiana, Switzerland
          
 
          
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Vendruscolo, Michele
  Institute for Research in Biomedicine (IRB), Faculty of Biomedical Sciences, Università della Svizzera italiana, Switzerland
          
 
          
        
        
       
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
        
        Published in:
        
          
            
            - The journal of chemical physics. - 2013, vol. 138, no. 9, p. 094112
 
            
          
         
       
      
      
      
       
      
      
      
        
        English
        
        
        
          In order to characterise the dynamics of proteins, a well-established method is to incorporate experimental parameters as  replica-averaged structural restraints into molecular dynamics simulations. Here, we justify this approach in the case of  interproton distance information provided by nuclear Overhauser effects by showing that it generates ensembles of  conformations according to the maximum entropy principle. These results indicate that the use of replica-averaged structural  restraints in molecular dynamics simulations, given a force field and a set of experimental data, can provide an accurate  approximation of the unknown Boltzmann distribution of a system.
        
        
       
      
      
      
        
        
        
        
        
        
        
        
        
        
        
        
        
        
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                  Medicine
                
              
            
          
        
 
        
        
        
          
        
        
        
          
        
        
        
        
        
        
        
        
        
        
        
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          https://n2t.net/ark:/12658/srd1318872
        
 
      
     
   
  
  
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