Folding type-specific secondary structure propensities of amino acids, derived from α-helical, β-sheet, α/β, and α+β proteins of known structures
✍ Scribed by Bo Jiang; Tao Guo; Lei-Wei Peng; Zhi-Rong Sun
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 1998
- Tongue
- English
- Weight
- 459 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0006-3525
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✦ Synopsis
Folding type-specific secondary structure propensities of 20 naturally occurring amino acids have been derived from a-helical, b-sheet, a/b, and a/b proteins of known structures. These data show that each residue type of amino acids has intrinsic propensities in different regions of secondary structures for different folding types of proteins. Each of the folding types shows markedly different rank ordering, indicating folding type-specific effects on the secondary structure propensities of amino acids. Rigorous statistical tests have been made to validate the folding type-specific effects. It should be noted that a and b proteins have relatively small a-helices and b-strands forming propensities respectively compared with those of a/b and a/b proteins. This may suggest that, with more complex architectures than a and b proteins, a/b and a/b proteins require larger propensities to distinguish from interacting a-helices and b-strands. Our finding of folding type-specific secondary structure propensities suggests that sequence space accessible to each folding type may have differing features. Differing sequence space features might be constrained by topological requirement for each of the folding types. Almost all strong b-sheet forming residues are hydrophobic in character regardless of folding types, thus suggesting the hydrophobicities of side chains as a key determinant of b-sheet structures. In contrast, conformational entropy of side chains is a major determinant of the helical propensities of amino acids, although other interactions such as hydrophobicities and charged interactions cannot be neglected. These results will be helpful to protein design, class-based secondary structure prediction, and protein folding. ᭧ 1998