In silico identification of the rare-coding pathogenic mutations and structural modeling of human NNAT gene associated with anorexia nervosa.
| Author | |
|---|---|
| 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 |
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2022
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| Journal |
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Eating and weight disorders : EWD
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| Volume |
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27
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| Issue |
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7
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| Number of Pages |
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2725-2744
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| ISSN Number |
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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
|
| Short Title |
:
Eat Weight Disord
|
| Download citation |