ArticleBioMed research international2016
Computational Analysis of Damaging Single-Nucleotide Polymorphisms and Their Structural and Functional Impact on the Insulin Receptor.
Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- In-silico analysis of deleterious non-synonymous SNPs in the human AVPR1a gene linked to autism.BMC genomics · 2025Article
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- Identification and In-Silico study of non-synonymous functional SNPs in the human SCN9A gene.PloS one · 2024Article
- Conceptualization of functional single nucleotide polymorphisms of polycystic ovarian syndrome genes: an in silico approach.Journal of endocrinological investigation · 2021Article
- Molecular andF1000Research · 2018Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
Single-nucleotide polymorphisms (SNPs) associated with complex disorders can create, destroy, or modify protein coding sites. Single amino acid substitutions in the insulin receptor (INSR) are the most common forms of genetic variations that account for various diseases like Donohue syndrome or Leprechaunism, Rabson-Mendenhall syndrome, and type A insulin resistance. We analyzed the deleterious nonsynonymous SNPs (nsSNPs) in
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