Muhammad Akram
                        
                                        
                        
    
    
            
            
            
                                                                
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                    
            
        
                                                
                Docking Approach And Study Of Some Docking Parameters With MOE
Buch
            Computational approaches like docking of the small ligand molecules into large molecular targets and then to score their complementarily to binding sites are used extensively in drug discovery. The number of docking/scoring functions are increasing rapidly that use different scoring and sampling algorithms. The effectiveness of such approaches entirely depends upon reliable scoring function. Comparative studies are needed to evaluate their current capabilities. This study was conducted to analyze the effectiveness of MOE (MOLECULAR OPERATING ENVIRONMENT) in docking of small ligand molecules and decoys to macromolecular protein targets using f…
        
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                                    Beschreibung
                        Computational approaches like docking of the small ligand molecules into large molecular targets and then to score their complementarily to binding sites are used extensively in drug discovery. The number of docking/scoring functions are increasing rapidly that use different scoring and sampling algorithms. The effectiveness of such approaches entirely depends upon reliable scoring function. Comparative studies are needed to evaluate their current capabilities. This study was conducted to analyze the effectiveness of MOE (MOLECULAR OPERATING ENVIRONMENT) in docking of small ligand molecules and decoys to macromolecular protein targets using force field, without using force field and Proxy triangle scoring functions. It was found that using force field scoring function showed a significant correlation between binding affinities predicted scores of the docked complex. Using this approach correct binding mode was identified with highest scoring among sampled poses. It was clear from the results that selecting a suitable scoring function is crucial for the evaluation of docking algorithm. The selection of scoring function is dependent on the selected target.
                    
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            Produktdetails
- ISBN: 978-3-659-54736-2
 - EAN: 9783659547362
 - Produktnummer: 37425219
 - Verlag: LAP Lambert Academic Publishing
 - Sprache: Englisch
 - Erscheinungsjahr: 2014
 - Seitenangabe: 80 S.
 - Masse: H22.0 cm x B15.0 cm x D0.5 cm 137 g
 - Abbildungen: Paperback
 - Gewicht: 137
 
Über den Autor
            Muhammad Akram received his Pharm.D from University of Lahore in 2009, followed by M.Sc. degrees in Research Chemists & Toxicology from University of Eastern Finland in 2012 & 2013. In 2013, he continued his academic career as a PhD researcher with focus on 'Finding the chronic toxic effects of phytochemicals by CAMD' from University of Innsbruck.
        
                                        
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