In silico identification of the rare-coding pathogenic mutations and structural modeling of human NNAT gene associated with anorexia nervosa.
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| Abstract |    :  
                  Increased susceptibility towards anorexia nervosa (AN) was reported with reduced levels of neuronatin (NNAT) gene. We sought to investigate the most pathogenic rare-coding missense mutations, non-synonymous single-nucleotide polymorphisms (nsSNPs) of NNAT and their potential damaging impact on protein function through transcript level sequence and structure based in silico approaches.  | 
        
| Year of Publication |    :  
                  2022 
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| Journal |    :  
                  Eating and weight disorders : EWD 
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| Volume |    :  
                  27 
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| Issue |    :  
                  7 
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| Number of Pages |    :  
                  2725-2744 
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| ISSN Number |    :  
                  1124-4909 
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| URL |    :  
                  https://dx.doi.org/10.1007/s40519-022-01422-6 
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| DOI |    :  
                  10.1007/s40519-022-01422-6 
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| Short Title |    :  
                  Eat Weight Disord 
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