Open AccessProtein secondary structure prediction in different structural classes
Author(s) -
M. Michael Gromiha,
S. Selvaraj
Publication year - 1998
Publication title -
protein engineering design and selection
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.627
H-Index - 109
eISSN - 1741-0134
pISSN - 1741-0126
DOI - 10.1093/protein/11.4.249
Subject(s) - globular protein , protein secondary structure , protein structure , computational biology , protein structure prediction , class (philosophy) , biological system , chemistry , computer science , biology , crystallography , biochemistry , artificial intelligence
Information about the secondary structure of a protein can be helpful in understanding its native folded state. In previous work, it was shown that the medium-range interactions predominate in all-alpha class and the long-range interactions predominate in all-beta class proteins. Based on this, in this work the performance of several structure prediction methods in different structural classes of globular proteins was analyzed. It was found that all the methods predict the secondary structures of all-alpha proteins more accurately than other classes.
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