biostudies-literatureUnknown13Behairy MYTaif UniversityThe NRAS gene is a well-known oncogene that acts as a major player in carcinogenesis. Mutations in the NRAS gene have been linked to multiple types of human tumors. Therefore, the identification of the most deleterious single nucleotide polymorphisms (SNPs) in the NRAS gene is necessary to understand the key factors of tumor pathogenesis and therapy. We aimed to retrieve NRAS missense SNPs and analyze them comprehensively using sequence and structure approaches to determine the most deleterious SNPs that could increase the risk of carcinogenesis. We also adopted structural biology methods and docking tools to investigate the behavior of the filtered SNPs. After retrieving missense SNPs and analyzing them using six in silico tools, 17 mutations were found Frontiers in genetics872845https://www.ebi.ac.uk/biostudies/studies/S-EPMC9424727biostudies-literatureComputational Analysis of Deleterious SNPs in NRAS to Assess Their Potential Correlation With Carcinogenesis.PMC9424727Althobaiti FAlaa Eldeen MBehairy MYElfaky MASileem AEDarwish KMSoltan MAEzz EMAdam MSFayad EAlbogami SGouda AMRefaat AMfalseComputational Analysis of Deleterious SNPs in NRAS to Assess Their Potential Correlation With Carcinogenesis.The NRAS gene is a well-known oncogene that acts as a major player in carcinogenesis. Mutations in the NRAS gene have been linked to multiple types of human tumors. Therefore, the identification of the most deleterious single nucleotide polymorphisms (SNPs) in the NRAS gene is necessary to understand the key factors of tumor pathogenesis and therapy. We aimed to retrieve NRAS missense SNPs and analyze them comprehensively using sequence and structure approaches to determine the most deleterious SNPs that could increase the risk of carcinogenesis. We also adopted structural biology methods and docking tools to investigate the behavior of the filtered SNPs. After retrieving missense SNPs and analyzing them using six in silico tools, 17 mutations were found 2022-01-01T00:00:00Z20222026-05-28T06:35:56.805Z2024-11-07T00:35:15.752ZS-EPMC94247273605169410.3389/fgene.2022.872845