虚拟筛选                        
                
                                
                        
                            药物发现                        
                
                                
                        
                            计算生物学                        
                
                                
                        
                            ATP酶                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            领域(数学分析)                        
                
                                
                        
                            生物信息学                        
                
                                
                        
                            化学                        
                
                                
                        
                            生物化学                        
                
                                
                        
                            生物                        
                
                                
                        
                            酶                        
                
                                
                        
                            数学分析                        
                
                                
                        
                            数学                        
                
                        
                    
            作者
            
                Jiawei Zhu,Xiaoxue Bai,Yucheng Xiong,Chenlong Xie,Yao Chen,Haopeng Sun            
         
                    
        
    
            
            标识
            
                                    DOI:10.1021/acsmedchemlett.5c00459
                                    
                                
                                 
         
        
                
            摘要
            
            The SWI/SNF chromatin remodeling complex regulates numerous cellular processes, and inactivating mutations in its subunit, SMARCA4, are closely associated with various malignancies. The inactivation of SMARCA4 has been found to have a synthetic lethal relationship with the inhibition of SMARCA2 ATPase, suggesting that targeted inhibition of SMARCA2 ATPase in SMARCA4-deficient environments presents a promising tumor treatment option. In this study, we identified binding pockets with selective modification potential through mixed-solvent molecular dynamics simulations. Additionally, several selective inhibitors of SMARCA2 ATPase were identified by virtual screening, and preliminary structural modifications were conducted. Among them, compounds 4 and 11 demonstrated inhibitory activity at micromolar level and exhibited selectivity. Overall, these findings validate the efficacy of our virtual screening approach and provide a promising novel scaffold for the development of highly selective SMARCA2 ATPase inhibitors.
         
            
 
                 
                
                    
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