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Fig. 1 | Egyptian Journal of Medical Human Genetics

Fig. 1

From: A computational analysis reveals eight novel high-risk single nucleotide variants of human tumor suppressor LHPP gene

Fig. 1

Overall strategies employed in this study. Following nsSNPs retrieval from the dbSNP database, deleterious nsSNPs were identified using nine different computational tools. Selected SNPs were tested whether affect proteins’ stability or not using I Mutant, SDM, and MuPro tools. After that, evolutionary conservation of the deleterious SNPs was predicted using ConSurf followed by their functional and structural modifications identification using MutPred. Structural effects of point mutation were observed and then cancer-associated SNPs were identified. Then, different cancer patients’ survival analysis was performed using Kaplan–Meier plotter followed by ligand binding sites prediction using FTSite tool. LHPP protein–protein interaction network was predicted using the STRING database. At last, a 50 ns simulation was carried out using WebGro tool to assess the mutant structures’ stability in terms of RMSD, RMSF, Rg, SASA, and Hydrogen bonds values

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