| Title | 
							Databases and web-based tools for studying structures of protein-nucleic acid complexes | 
						
					
	                    | Authors | 
	                    Dapkūnas, Justas ; Venclovas, Česlovas | 
	                
	            
	                    | DOI | 
	                    10.1016/j.sbi.2025.103079 | 
	                
	            
						| Full Text | 
						
	                    	
	                        	 
	                        
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	                    | Is Part of | 
	                    Current opinion in structural biology.. London : Elsevier Ltd. 2025, vol. 94, art. no. 103079, p. [1-9].. ISSN 0959-440X. eISSN 1879-033X | 
	                
	            
						| Abstract [eng] | 
						Structural data on protein-DNA and protein-RNA interactions are indispensable in molecular biology research. In this article, we review available databases and other web-based resources devoted to 3D structures of protein-nucleic acid complexes. First, we describe the core databases that collect and disseminate experimental data. We then review derivative databases focused specifically on structural data on protein-nucleic acid interactions. Finally, we provide an overview of several useful web servers for structure prediction, analysis and comparison. Tools for investigating protein-nucleic acid complexes are relatively scarce. This is primarily because the methods that integrate structural information from both proteins and nucleic acids are in short supply. However, the emerging AI-driven techniques for structure prediction are expected to boost the development of such methods. | 
					
				
	                    | Published | 
	                    London : Elsevier Ltd | 
	                
	            
	                    | Type | 
	                    Journal article | 
	                
	            
	                    | Language | 
	                    English | 
	                
	            
						| Publication date | 
						2025 | 
					
				
						| CC license | 
						
	                    	
	                        	 
	                        
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