Abstract:
In this study, an analysis of distribution of the torsion angles Ω between helical axes in pairs of connected helices found in known proteins has been performed. The database for helical pairs was compiled using the Protein Data Bank taking into account the definite rules suggested earlier. The database was analyzed in order to elaborate its classification and find out novel structural features in helix packing. The database was subdivided into three subsets according to criterion of crossing helix projections on the parallel planes passing through the axes of the helices. It was shown that helical pairs not having crossing projections are distributed along whole range of angles Ω, although there are two maxima at Ω=0∘ and Ω=180∘. Most of helical pairs of this subset are pairs formed by α-helices and 310- helices. It is shown that the distribution of all the helical pairs having the crossing helix projections has a maximum at 20∘<Ω<25∘. In this subset, most helical pairs are formed by α-helices. The distribution of only α-helical pairs having crossing axes projections has three maxima, at −50∘<Ω<−25∘, 20∘<Ω<25∘, and 70∘<Ω<110∘.
Key words:
structural motifs of proteins, pairs of helices, the point model, the torsion angle between axes of the helices.
The study was supported by the RFBR (projects № 16-01-00692 and № 18-07-01031).
Received 24.04.2018, Published 30.04.2018
Document Type:
Article
UDC:
519-7, 51-76
Language: English
Citation:
D. A. Tikhonov, L. I. Kulikova, A. V. Efimov, “Analysis of torsion angles between helical axes in pairs of helices in protein molecules”, Mat. Biolog. Bioinform., 13, Suppl. (2018), t17–t28
This publication is cited in the following 6 articles:
L. I. Kulikova, S. A. Makhortykh, “Analysis and Classification of Biomedical and Bioinformation Systems Using a Generalized Spectral Analytical Approach”, Pattern Recognit. Image Anal., 33:4 (2023), 1273
D. Tikhonov, L. Kulikova, A. T. Kopylov, V. Rudnev, A. Stepanov, K. Malsagova, A. Izotov, D. Kulikov, A. Zulkarnaev, D. Enikeev, N. Potoldykova, A. L. Kaysheva, “Proteomic and molecular dynamic investigations of PTM-induced structural fluctuations in breast and ovarian cancer”, Sci Rep, 11:1 (2021), 19318
Dmitry Tikhonov, Liudmila Kulikova, Vladimir Rudnev, Arthur T. Kopylov, Amir Taldaev, Alexander Stepanov, Kristina Malsagova, Alexander Izotov, Dmitry Enikeev, Natalia Potoldykova, Anna Kaysheva, “Changes in Protein Structural Motifs upon Post-Translational Modification in Kidney Cancer”, Diagnostics, 11:10 (2021), 1836
Vladimir R. Rudnev, Liudmila I. Kulikova, Anna L. Kaysheva, Alexander V. Efimov, Dmitry A. Tikhonov, “Use of the Molecular Dynamics Method to Investigate the Stability of α-α-Corner Structural Motifs in Proteins”, Symmetry, 13:7 (2021), 1193
V.R. Rudnev, D.A. Tikhonov, L.I. Kulikova, A.L. Kaysheva, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 8, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 2020
D.A. Tikhonov, L.I. Kulikova, A.T. Kopylov, V.R. Rudnev, A.L. Kaysheva, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 8, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 2020