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Mean curvature as a major determinant of β-sheet propensity
Author(s) -
Eunhee Koh,
Taehyo Kim,
HyunSoo Cho
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti775
Subject(s) - curvature , beta sheet , stability (learning theory) , mathematics , materials science , chemistry , protein structure , geometry , computer science , biochemistry , machine learning
Despite the importance of beta-sheets as building blocks in proteins and also toxic elements in the pathological disorders, ranging from Alzheimer's disease to mad cow disease, the principles underlying their stability are not well understood. Non-random beta-sheet propensities of amino acids have been revealed both by their distinct statistical preferences within known protein structures and by the relative thermodynamic scales through the experimental host-guest systems. However, recent fitting analysis has proved that a native beta-sheet conforms to a minimal surface with zero mean curvature, like the physical model of soap films.

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