Paralog-divergent Features May Help Reduce Off-target Effects of Drugs: Hints from Glucagon Subfamily Analysis
	    		
		   		
	    	
    	
    	
   		
        
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		Sa ZHINING
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Zhou JINGQI
			        		
			        		;
		        		
		        		
		        		
			        		Zou YANGYUN
			        		
			        		;
		        		
		        		
		        		
			        		Su ZHIXI
			        		
			        		;
		        		
		        		
		        		
			        		Gu XUN
			        		
			        		
		        		
		        		
		        		
		        		
		        			
			        		
			        		Author Information
			        		
		        		
		        		
			        		
			        		
			        			1. State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology
			        		
		        		
	        		
        		 
        	
        	
        	
        	
        		- Keywords:
        			
	        			
	        				
	        				
			        		
				        		Paralog;
			        		
			        		
			        		
				        		Functional divergence;
			        		
			        		
			        		
				        		Functional site;
			        		
			        		
			        		
				        		Drug specificity;
			        		
			        		
			        		
				        		Evolutionary conservation
			        		
			        		
	        			
        			
        		
 
        	
            
            
            	- From:
	            		
	            			Genomics, Proteomics & Bioinformatics
	            		
	            		 2017;15(4):246-254
	            	
            	
 
            
            
            	- CountryChina
 
            
            
            	- Language:Chinese
 
            
            
            	- 
		        	Abstract:
			       	
			       		
				        
				        	Side effects from targeted drugs remain a serious concern.One reason is the nonselective binding of a drug to unintended proteins such as its paralogs,which are highly homologous in sequences and have similar structures and drug-binding pockets.To identify targetable differences between paralogs,we analyzed two types (type-Ⅰ and type-Ⅱ) of functional divergence between two paralogs in the known target protein receptor family G-protein coupled receptors (GPCRs) at the amino acid level.Paralogous protein receptors in glucagon-like subfamily,glucagon receptor (GCGR) and glucagon-like peptide-1 receptor (GLP-1R),exhibit divergence in ligands and are clinically validated drug targets for type 2 diabetes.Our data showed that type-Ⅱ amino acids were significantly enriched in the binding sites of antagonist MK-0893 to GCGR,which had a radical shift in physicochemical properties between GCGR and GLP-1R.We also examined the role of type-Ⅰ amino acids between GCGR and GLP-1R.The divergent features between GCGR and GLP-1R paralogs may be helpful in their discrimination,thus enabling the identification of binding sites to reduce undesirable side effects and increase the target specificity of drugs.