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 | 
| Journal | :  Eating and weight disorders : EWD | 
| Volume | :  27 | 
| Issue | :  7 | 
| Number of Pages | :  2725-2744 | 
| ISSN Number | :  1124-4909 | 
| URL | :  https://dx.doi.org/10.1007/s40519-022-01422-6 | 
| DOI | :  10.1007/s40519-022-01422-6 | 
| Short Title | :  Eat Weight Disord | 
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