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Protein Secondary Structure Detection Using Dihedral Angle Parameters Evaluation

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The 11th IFToMM International Symposium on Science of Mechanisms and Machines

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 18))

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Abstract

The detection of proteins secondary structures constitutes an essential task in the protein motion simulation. Secondary structures constitute rigid parts of the protein structure, hence, their detection is crucial so as to properly define the movement of the protein. During the simulation process, these rigid structures can be identified and, accordingly, their associated degrees of freedom are neglected. As a consequence, the computational cost is reduced. Current methods existing in the literature are based on the analysis of geometrical parameters distribution, such as \( C\alpha \) atoms distribution, and hydrogen bonds detection. These methods require specific procedures, independent of the simulation process, to determine these geometrical parameters, thereby increasing the computational cost. In this paper, a novel method for protein secondary structure detection is presented. This new method relies only on the evaluation of dihedral angles so as to detect the existence of secondary structures. The use of dihedral angles, which have been already evaluated during the simulation process, does not increase the computational cost of the simulation process.

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References

  • Colloc’h N, Etchebest C, Thoreau E, Henrissat B, Mornon JP (1993) Comparison of three algorithms for the assignment of secondary structure in proteins: the advantages of a consensus assignment. Protein Eng Des Sel 6(4):377–382

    Google Scholar 

  • Diez M, Petuya V, Mart′ınez-Cruz LA, Hernandez A (2011) A biokinematic approach for the computational simulation of proteins molecular mechanism. Mech Mach Theory 46(12):1854–1868

    Google Scholar 

  • Frishman DD, Argos PP (1995) Knowledge-based protein secondary structure assignment. Proteins: Struct Funct Bioinf 23(4):566–579

    Google Scholar 

  • Jacobs DJ, Rader AJ, Kuhn LA, Thorpe MF (2001) Protein flexibility predictions using graph theory. Proteins Struct Funct Genet 44(2):150–165

    Article  Google Scholar 

  • Kabsch WW, Sander CC (1983) Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers 22(12):2577–2637

    Article  Google Scholar 

  • Labesse G, Colloc’h N, Pothier J, Mornon JP (1997) P-SEA: a new efficient assignment of secondary structure from C alpha trace of proteins. Comput Appl Biosci 13(3):291–295

    Google Scholar 

  • Nichols WL, Rose GD, Ten Eyck LF,Zimm BH (1995) Rigid domains in proteins: an algorithmic approach to their identification. Proteins Struct Funct Genet 23(1):38–48

    Google Scholar 

  • Petsko GA, Ringe D (2004) Protein structure and function. Blackwell Publishing, Hoboken

    Google Scholar 

  • Richards FM, Kundrot CE (1987) Identification of structural motifs from protein coordinate data: secondary structure and first-level super secondary structure. Proteins: Struct Funct Bioinf 3(2):71–84

    Google Scholar 

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Acknowledgments

The authors wish to acknowledge the financial support received from the Spanish Government through the Ministerio de Economía y Competitividad (Project DPI2011-22955), the European Union (Project FP7-CIP-ICT-PSP-2009-3) and the Regional Government of the Basque Country through the Departamento de Educación, Universidades e Investigación (Project IT445-10) and UPV/EHU underprogram UFI 11/29.

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Correspondence to Mikel Diez .

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© 2014 Springer International Publishing Switzerland

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Diez, M., Petuya, V., Martínez, I., Hernández, A. (2014). Protein Secondary Structure Detection Using Dihedral Angle Parameters Evaluation. In: Visa, I. (eds) The 11th IFToMM International Symposium on Science of Mechanisms and Machines. Mechanisms and Machine Science, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-319-01845-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-01845-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01844-7

  • Online ISBN: 978-3-319-01845-4

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