Secondary Structure Characterization Based on Amino Acid Composition and Availability in Proteins

蛋白质二级结构 氨基酸 蛋白质结构 氨基酸残基 蛋白质结构预测 作文(语言) 计算生物学 化学 肽序列 结晶学 生物 生物化学 语言学 基因 哲学
作者
Joji M. Otaki,Motosuke Tsutsumi,Tomonori Gotoh,Haruhiko Yamamoto
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:50 (4): 690-700 被引量:43
标识
DOI:10.1021/ci900452z
摘要

The importance of thorough analyses of the secondary structures in proteins as basic structural units cannot be overemphasized. Although recent computational methods have achieved reasonably high accuracy for predicting secondary structures from amino acid sequences, a simple and fundamental empirical approach to characterize the amino acid composition of secondary structures was performed mainly in 1970s, with a small number of analyzed structures. To extend this classical approach using a large number of analyzed structures, here we characterized the amino acid sequences of secondary structures (12 154 α-helix units, 4592 310-helix units, 16 787 β-strand units, and 30 811 "other" units), using the representative three-dimensional protein structure records (1641 protein chains) from the Protein Data Bank. We first examined the length and the amino acid compositions of secondary structures, including rank order differences and assignment relationships among amino acids. These compositional results were largely, but not entirely, consistent with the previous studies. In addition, we examined the frequency of 400 amino acid doublets and 8000 triplets in secondary structures based on their relative counts, termed the availability. We identified not only some triplets that were specific to a certain secondary structure but also so-called zero-count triplets, which did not occur in a given secondary structure at all, even though they were probabilistically predicted to occur several times. Taken together, the present study revealed essential features of secondary structures and suggests potential applications in the secondary structure prediction and the functional design of protein sequences.
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