ABSTRACT
Activating mutations are significant drug targets of diseases. Statistical analysis on the mutated amino acids, the mutation characteristic and the related disease information of activating mutations is of great significance for the diagnosis and treatment of diseases. Study on the protein stability by predicting Gibbs free energy (ΔΔG) change after mutation is very helpful for understanding the relationship between protein structure and function. By combining mCSM and disease datasets, this paper studies the effect of mutation on the protein stability and disease. The results show that the mutations in protein may be the cause of disease for PPI structures, which statistically afford significant information for disease related research and medical diagnosis and treatment.