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Matematicheskaya Biologiya i Bioinformatika, 2017, Volume 12, Issue 2, Pages 398–410
DOI: https://doi.org/10.17537/2017.12.398
(Mi mbb302)
 

This article is cited in 10 scientific papers (total in 10 papers)

Bioinformatics

Analysis of the torsion angles between helical axes in pairs of helices in protein molecules

D. A. Tikhonovab, L. I. Kulikovaa, A. V. Efimovc

a Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Pushchino, Russia
b Institute of Theoretical and Experimental Biophysics RAS, Pushchino, Russia
c Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia
References:
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.
Funding agency Grant number
Russian Foundation for Basic Research 16-01-00692_а
Received 19.09.2017, Published 27.11.2017
Document Type: Article
UDC: 519
Language: Russian
Citation: D. A. Tikhonov, L. I. Kulikova, A. V. Efimov, “Analysis of the torsion angles between helical axes in pairs of helices in protein molecules”, Mat. Biolog. Bioinform., 12:2 (2017), 398–410
Citation in format AMSBIB
\Bibitem{TikKulEfi17}
\by D.~A.~Tikhonov, L.~I.~Kulikova, A.~V.~Efimov
\paper Analysis of the torsion angles between helical axes in pairs of helices in protein molecules
\jour Mat. Biolog. Bioinform.
\yr 2017
\vol 12
\issue 2
\pages 398--410
\mathnet{http://mi.mathnet.ru/mbb302}
\crossref{https://doi.org/10.17537/2017.12.398}
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  • https://www.mathnet.ru/eng/mbb/v12/i2/p398
    Translation
    This publication is cited in the following 10 articles:
    1. David Legland, “MatGeom: A toolbox for geometry processing with MATLAB”, SoftwareX, 29 (2025), 101984  crossref
    2. A.N. Pankratov, N.M. Pankratova, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 10, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 2024  crossref
    3. D. Tikhonov, L. Kulikova, V. Rudnev, A. T. Kopylov, A. Taldaev, A. Stepanov, K. Malsagova, A. Izotov, D. Enikeev, N. Potoldykova, A. Kaysheva, “Changes in protein structural motifs upon post-translational modification in kidney cancer”, Diagnostics, 11:10 (2021), 1836  crossref  isi
    4. V. R. Rudnev, L. I. Kulikova, A. L. Kaysheva, A. V. Efimov, D. A. Tikhonov, “Use of the molecular dynamics method to investigate the stability of alpha-alpha-corner structural motifs in proteins”, Symmetry-Basel, 13:7 (2021), 1193  crossref  isi
    5. Tikhonov D.A., Kulikova L.I., Efimov A.V., “Relationship Between the Interhelical Packing Angles and the Length of Alpha-Helices in Proteins”, Mol. Biol., 54:2 (2020), 292–298  crossref  isi  scopus
    6. S. A. Makhortykh, L. I. Kulikova, A. N. Pankratov, R. K. Tetuev, “Generalized Spectral-Analytical Method and Its Applications in Image Analysis and Pattern Recognition Problems”, Pattern Recognit. Image Anal., 29:4 (2019), 621  crossref
    7. D. A. Tikhonov, L. I. Kulikova, A. V. Efimov, “Analiz ploschadei i perimetrov poligonov peresecheniya proektsii spiralei v spiralnykh parakh belkovykh molekul”, Preprinty IPM im. M. V. Keldysha, 2018, 059, 24 pp.  mathnet  crossref  elib
    8. V. R. Rudnev, D. A. Tikhonov, L. I. Kulikova, M. Yu. Gubin, A. V. Efimov, “Baza dannykh dvukhspiralnykh motivov belkovykh molekul i vychislitelnye servisy dlya ikh analiza”, Preprinty IPM im. M. V. Keldysha, 2018, 185, 16 pp.  mathnet  crossref  elib
    9. V.R. Rudnev, D.A. Tikhonov, L.I. Kulikova, M.Yu. Gubin, A.V. Efimov, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 7, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 2018  crossref
    10. D.A. Tikhonov, L.I. Kulikova, V.R. Rudnev, A.V. Efimov, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 7, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 2018  crossref
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