THE CHARACTERISTIC PROPERTIES OF AMINO ACID CONTENT OF ALPHA HELICES FRAGMENTS IN POLYPEPTIDE CHAINS OF DIFFERENT STRUCTURAL CLASSES OF PROTEINS
Abstract
In this study we analyzed the amino acid content of alpha helices from proteins that belong to four structural classes in nonhomologous sets of 3D structures. Comparison of probability scales revealed that lysine, arginine and histidine show high probabilities to be included in alpha helices only in certain structural classes of proteins, unlike the constant formers of alpha helices: alanine, leucine, glutamic acid, glutamine and methionine. Alpha helices of beta structural proteins show lower usage of leucine and higher usage of glutamine, as well as the elevated usage of combinations of hydrophilic and hydrophobic amino acids that are characteristic to beta strands, relative to alpha helices from alpha helical proteins. The properties of amino acid content of alpha helices situated between two beta strands in beta structural and mixed proteins show that they are protected from the shift to beta strands. Obtained data are important in the process of the selection of antigenic fragments of proteins that contain alpha helices with highly stabilized secondary structure, with the aim to use them in vaccine design studies.
Keywords
About the Authors
V. V. PoboinevBelarus
Undergraduate
83, Dzerzhynskiy Ave., 220116
V. V. Khrustalev
Belarus
Assistant Professor, Head of the Department
83, Dzerzhynskiy Ave., 220116
T. A. Khrustaleva
Belarus
Senior researcher
28, Aсademicheskaya Str., 220072
References
1. Chou P. Y., Fasman G. D. Prediction of the secondary structure of proteins from their amino acid sequence. Advances in Enzymology and Related Areas of Molecular Biology, 1978, vol. 47, pp. 45–48.
2. Munoz V., Serrano L. Intrinsic secondary structure propensities of the amino acids, using statistical phi-psi matrices: comparison with experimental scales. Proteins, 1994, vol. 20, pp. 301–311.
3. Pirovano W., Heringa J. Protein secondary structure prediction. Methods in Molecular Biology, 2010, vol. 609, pp. 327–348.
4. Kandoi G., Leelananda S. P., Jernigan R. L., Sen T. Z. Predicting protein secondary structure using consensus data mining (CDM) based on empirical statistics and evolutionary information. Methods in Molecular Biology, 2017, vol. 1484, pp. 35–44. DOI:10.1007/978-1-4939-6406-2_4
5. Barkovskii E. V., Kirilenko D. V. Maps of the preferential conformational state of dipeptides in structured regions of globular proteins. Biofizika [Biophysics], 1985, vol. 30, iss. 5, pp. 786–790 (in Russian).
6. Anishetty S., Pennathur G., Anishetty R. Tripeptide analysis of protein structures. BMC Structural Biology, 2002, vol. 2, p. 9. DOI: 10.1186/1472-6807-2-9
7. Costantini S., Colonna G., Facchiano A. M. PreSSAPro: a software for the prediction of secondary structure by amino acid properties. Computational Biology and Chemistry, 2007, vol. 31, pp. 389–392. DOI:10.1016/j.compbiolchem.2007.08.010
8. Eisenberg D., Schwarz E., Komaromy M., Wall R. Analysis of membrane and surface protein sequences with the hydrophobic moment plot. Journal of Molecular Biology, 1984, vol. 179, pp. 125–142. DOI: 10.1016/0022-2836(84)90309-7
9. Combet C., Blanchet C., Geourjon C., Deleage G. NPS@: network protein sequence analysis. Trends in Biochemical Sciences, 2000, vol. 25, pp. 147–150. DOI: http://dx.doi.org/10.1016/S0968-0004(99)01540-6
10. Tendulkar A. V., Wangikar P. P. Characterization and sequence prediction of structural variations in α-helix. BMC Bioinformatics, 2011, vol. 12, suppl. 1, р. S20. DOI: 10.1186/1471-2105-12-S1-S20
11. Aurora R., Rose G. D. Helix capping. Protein Science, 1998, vol. 7, no. 1, pp. 21–38. DOI: 10.1002/pro.5560070103.
12. Lim V. I. Stereochemical theory of the secondary structure of globular proteins. II. Methods of localization of α-helical and β-helical sites. Biofizica [Biophysics], 1974, vol. 19, iss. 3, pp. 562–575 (in Russian).
13. Kabsch W., Sander C. Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers, 1983, vol. 22, no. 12, pp. 2577–2637. DOI: 10.1002/bip.360221211
14. Khrustalev V. V., Barkovsky E. V. Stabilization of secondary structure elements by specific combinations of hydrophilic and hydrophobic amino acid residues is more important for proteins encoded by GC-poor genes. Biochimie, 2012, vol. 94, no. 12, pp. 2706–2715. DOI: 10.1016/j.biochi.2012.08.008