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14 - Protein Secondary Structure Prediction

Published online by Cambridge University Press:  05 June 2012

Jin Xiong
Affiliation:
Texas A & M University
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Summary

Protein secondary structures are stable local conformations of a polypeptide chain. They are critically important in maintaining a protein three-dimensional structure. The highly regular and repeated structural elements include α-helices and β-sheets. It has been estimated that nearly 50% of residues of a protein fold into either α-helices and β-strands. As a review, an α-helix is a spiral-like structure with 3.6 amino acid residues per turn. The structure is stabilized by hydrogen bonds between residues i and i + 4. Prolines normally do not occur in the middle of helical segments, but can be found at the end positions of α-helices (see Chapter 12). A β-sheet consists of two or more β-strands having an extended zigzag conformation. The structure is stabilized by hydrogen bonding between residues of adjacent strands, which actually may be long-range interactions at the primary structure level. β-Strands at the protein surface show an alternating pattern of hydrophobic and hydrophilic residues; buried strands tend to contain mainly hydrophobic residues.

Protein secondary structure prediction refers to the prediction of the conformational state of each amino acid residue of a protein sequence as one of the three possible states, namely, helices, strands, or coils, denoted as H, E, and C, respectively. The prediction is based on the fact that secondary structures have a regular arrangement of amino acids, stabilized by hydrogen bonding patterns. The structural regularity serves the foundation for prediction algorithms.

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Chapter
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Publisher: Cambridge University Press
Print publication year: 2006

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References

Edwards, Y. J., and Cottage, A. 2003. Bioinformatics methods to predict protein structure and function. A practical approach. Mol. Biotechnol. 23:139-66CrossRefGoogle ScholarPubMed
Heringa, J. 2002. Computational methods for protein secondary structure prediction using multiple sequence alignments. Curr. Protein Pept. Sci. 1:273-301CrossRefGoogle Scholar
Lehnert, U., Xia, Y., Royce, T. E., Goh, C. S., Liu, Y., Senes, A., Yu, H., Zhang, Z. L., Engelman, D.M, and Gerstein, M. 2004. Computational analysis of membrane proteins: Genomic occurrence, structure prediction and helix interactions. Q. Rev. Biophys. 37:121-46CrossRefGoogle ScholarPubMed
Möller, S., Croning, M. D. R., and Apweiler, R. 2001. Evaluation of methods for the prediction of membrane spanning regions. Bioinformatics 17:646-53CrossRefGoogle ScholarPubMed
Przybylski, D., and Rost, B. 2002. Alignments grow, secondary structure prediction improves. Proteins 46:197–205CrossRefGoogle ScholarPubMed
Rost, B. 2001. Review: Protein secondary structure prediction continues to rise. J. Struct. Biol. 134:204–18CrossRefGoogle ScholarPubMed
Rost, B. 2003. Prediction in 1D: Secondary structure, membrane helices, and accessibility. In Structural Bioinformatics, edited by Bourne, P. E. and Weissig, H., 559–87. Hoboken, NJ: Wiley–LissGoogle Scholar

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