Pathogenic conformational conversion is a general causation of many disease, such as transmissible spon-
giform encephalopathy (TSE) caused by misfolding of prion, sickle cell anemia, and etc. In such structural
changes, misfolding occurs in regions important for the stability of native structure firstly. This destabi-
lizes the normal conformation and leads to subsequent errors in folding pathway. Sites involved in the
first stage can be deemed switch regions of the protein, and are vital for conformational conversion.
Namely it could be a switch of disease at residue level. Here we report an algorithm that can identify such
sites computationally with an accuracy of 93%, by calculating the probability of the native structure of a
short segment jumping to a mistake one. Knowledge of such switch sites could be used to target clinical
therapy, study physiological and pathologic mechanism of protein, and etc.
Liu X,Zhao YP. Simulated pathogenic conformational switch regions matched well with the biochemical findings[J]. Journal of Biomedical Informatics.,2010,43,3,:365-375.
APA
刘鑫,&赵亚溥.(2010).Simulated pathogenic conformational switch regions matched well with the biochemical findings.Journal of Biomedical Informatics.,43(3),365-375.
MLA
刘鑫,et al."Simulated pathogenic conformational switch regions matched well with the biochemical findings".Journal of Biomedical Informatics. 43.3(2010):365-375.
; Zhao YP(赵亚溥)
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