Negatome 2.0: A database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis.
    
    
        
    
    
        
        Nucleic Acids Res. 42, D396-D400 (2014)
    
    
    
      
      
	
	    Knowledge about non-interacting proteins (NIPs) is important for training the algorithms to predict protein-protein interactions (PPIs) and for assessing the false positive rates of PPI detection efforts. We present the second version of Negatome, a database of proteins and protein domains that are unlikely to engage in physical interactions (available online at http://mips.helmholtz-muenchen.de/proj/ppi/negatome). Negatome is derived by manual curation of literature and by analyzing three-dimensional structures of protein complexes. The main methodological innovation in Negatome 2.0 is the utilization of an advanced text mining procedure to guide the manual annotation process. Potential non-interactions were identified by a modified version of Excerbt, a text mining tool based on semantic sentence analysis. Manual verification shows that nearly a half of the text mining results with the highest confidence values correspond to NIP pairs. Compared to the first version the contents of the database have grown by over 300%.
	
	
	    
	
       
      
	
	    
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        Publication type
        Article: Journal article
    
 
    
        Document type
        Scientific Article
    
 
    
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        Keywords
        Interaction Datasets; Extraction; Resource; Negation; Domain; Pdb
    
 
    
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        Language
        english
    
 
    
        Publication Year
        2014
    
 
    
        Prepublished in Year
        2013
    
 
    
        HGF-reported in Year
        2013
    
 
    
    
        ISSN (print) / ISBN
        0305-1048
    
 
    
        e-ISSN
        1362-4962
    
 
    
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	    Volume: 42,  
	    Issue: D1,  
	    Pages: D396-D400 
	    Article Number: ,  
	    Supplement: ,  
	
    
 
    
        
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            Publisher
            Oxford University Press
        
 
        
            Publishing Place
            Oxford
        
 
	
        
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        Reviewing status
        Peer reviewed
    
 
     
    
        POF-Topic(s)
        30505 - New Technologies for Biomedical Discoveries
    
 
    
        Research field(s)
        Enabling and Novel Technologies
    
 
    
        PSP Element(s)
        G-503700-001
    
 
    
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        Erfassungsdatum
        2013-11-15