Quality assurance for biomolecular simulations
Quality assurance for biomolecular simulations
 
  Contemporary structural biology has an increased emphasis on high- throughput methods. Biomolecular simulations can add value to structural biology via the provision of dynamic information. However, at present there are no agreed measures for the quality of biomolecular simulation data. In this Letter, we suggest suitable measures for the quality assurance of molecular dynamics simulations of biomolecules. These measures are designed to be simple, fast, and general. Reporting of these measures in simulation papers should become an expected practice, analogous to the reporting of comparable quality measures in protein crystallography. We wish to solicit views and suggestions from the simulation community on methods to obtain reliability measures from molecular- dynamics trajectories. In a database which provides access to previously obtained simulations-for example BioSimGrid (http://www.biosimgrid.org/)-the user needs to be confident that the simulation trajectory is suitable for further investigation. This can be provided by the simulation quality measures which a user would examine prior to more extensive analyses.
  dynamics, validation, proteins
  
  
  1477-1481
  
    
      Murdock, Stuart E.
      
        9f30d6aa-cdf6-4eea-bfa4-d9ddfa8b7b86
      
     
  
    
      Tai, Kaihsu
      
        363c10d0-8583-4bea-bc0f-5be75142e5de
      
     
  
    
      Ng, Muan Hong
      
        6cdc5c67-aaa2-4153-b64c-3491ad848fce
      
     
  
    
      Johnston, Steven
      
        6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
      
     
  
    
      Wu, Bing
      
        68da5cb1-6a5f-46f9-8173-12d702625220
      
     
  
    
      Fangohr, Hans
      
        9b7cfab9-d5dc-45dc-947c-2eba5c81a160
      
     
  
    
      Laughton, Charles A.
      
        0a484097-8092-443e-bc0b-5fec1c16ca45
      
     
  
    
      Essex, Jonathan W
      
        1f409cfe-6ba4-42e2-a0ab-a931826314b5
      
     
  
    
      Sansom, Mark S.P.
      
        ed30b4fc-bc73-4ad7-8c56-f51a67136e4e
      
     
  
  
   
  
  
    
      2006
    
    
  
  
    
      Murdock, Stuart E.
      
        9f30d6aa-cdf6-4eea-bfa4-d9ddfa8b7b86
      
     
  
    
      Tai, Kaihsu
      
        363c10d0-8583-4bea-bc0f-5be75142e5de
      
     
  
    
      Ng, Muan Hong
      
        6cdc5c67-aaa2-4153-b64c-3491ad848fce
      
     
  
    
      Johnston, Steven
      
        6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
      
     
  
    
      Wu, Bing
      
        68da5cb1-6a5f-46f9-8173-12d702625220
      
     
  
    
      Fangohr, Hans
      
        9b7cfab9-d5dc-45dc-947c-2eba5c81a160
      
     
  
    
      Laughton, Charles A.
      
        0a484097-8092-443e-bc0b-5fec1c16ca45
      
     
  
    
      Essex, Jonathan W
      
        1f409cfe-6ba4-42e2-a0ab-a931826314b5
      
     
  
    
      Sansom, Mark S.P.
      
        ed30b4fc-bc73-4ad7-8c56-f51a67136e4e
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Murdock, Stuart E., Tai, Kaihsu, Ng, Muan Hong, Johnston, Steven, Wu, Bing, Fangohr, Hans, Laughton, Charles A., Essex, Jonathan W and Sansom, Mark S.P.
  
  
  
  
   
    (2006)
  
  
    
    Quality assurance for biomolecular simulations.
  
  
  
  
    Journal of Chemical Theory and Computation, 2 (6), .
  
   (doi:10.1021/ct6001708). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          Contemporary structural biology has an increased emphasis on high- throughput methods. Biomolecular simulations can add value to structural biology via the provision of dynamic information. However, at present there are no agreed measures for the quality of biomolecular simulation data. In this Letter, we suggest suitable measures for the quality assurance of molecular dynamics simulations of biomolecules. These measures are designed to be simple, fast, and general. Reporting of these measures in simulation papers should become an expected practice, analogous to the reporting of comparable quality measures in protein crystallography. We wish to solicit views and suggestions from the simulation community on methods to obtain reliability measures from molecular- dynamics trajectories. In a database which provides access to previously obtained simulations-for example BioSimGrid (http://www.biosimgrid.org/)-the user needs to be confident that the simulation trajectory is suitable for further investigation. This can be provided by the simulation quality measures which a user would examine prior to more extensive analyses.
         
      
      
        
          
            
  
    Text
 Murd_06.pdf
     - Accepted Manuscript
   
  
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      Published date: 2006
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
     
        Keywords:
        dynamics, validation, proteins
      
    
  
    
  
    
  
  
        Identifiers
        Local EPrints ID: 44507
        URI: http://eprints.soton.ac.uk/id/eprint/44507
        
          
        
        
        
          ISSN: 1549-9618
        
        
          PURE UUID: 4a0ab5f5-4614-4209-8ab0-d1f697a61dcb
        
  
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
            
              
            
          
        
    
        
          
        
    
        
          
            
              
            
          
        
    
        
          
        
    
        
          
            
              
            
          
        
    
        
          
        
    
  
  Catalogue record
  Date deposited: 02 Mar 2007
  Last modified: 16 Mar 2024 03:09
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      Contributors
      
          
          Author:
          
            
            
              Stuart E. Murdock
            
          
        
      
          
          Author:
          
            
            
              Kaihsu Tai
            
          
        
      
          
          Author:
          
            
            
              Muan Hong Ng
            
          
        
      
        
      
          
          Author:
          
            
            
              Bing Wu
            
          
        
      
        
      
          
          Author:
          
            
            
              Charles A. Laughton
            
          
        
      
        
      
          
          Author:
          
            
            
              Mark S.P. Sansom
            
          
        
      
      
      
    
  
   
  
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