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Kinematics Study of Protein Chains and Protein Motion Simulation

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Micromechanics and Microactuators

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 2))

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Abstract

Proteins play an essential role in biochemical processes. Few years ago, a new viewpoint arose within protein researches, based on the parallelisms between proteins and mechanisms. In this paper the authors present an approach to obtain protein motion paths based on computational kinematic considerations. A potential energy field formula for potential energy checks is presented. Additionally, a normalization algorithm with the purpose of reducing the errors in experimental data and obtaining more stable structures is introduced. Finally, the simulation process for a specific protein is presented.

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References

  1. Helen Berman, Kim Henrick, Haruki Nakamura, and John L. Markley. The worldwide protein data bank (wwpdb): ensuring a single, uniform archive of pdb data. Nucl. Acids Res., 35(suppl1):D301–303, 2007.

    Article  Google Scholar 

  2. Shawna Thomas, Xinyu Tang, Lydia Tapia, and Nancy M. Amato. Simulating protein motions with rigidity analysis.

    Google Scholar 

  3. Gregory S. Chirikjian. A methodology for determining mechanical properties of macromolecules from ensemble motion data. Trends in Analytical Chemistry, 22:549–553, 2003.

    Article  Google Scholar 

  4. Kazem Kazerounian, Khalid Laif, and Carlos Alvarado. Protofold: A succesive kinetostatic compliance method for protein conformation prediction. Journal of Mechanism Design, 127:712–717, 2005.

    Article  Google Scholar 

  5. Donal J. Jacobs, AJ. Rader, Leslie A. Kuhn, and Mf Thorpe. Protein flexibility prediction using graph theory. Protein: Structure, Function and Genetics, 44:150–165, 2001.

    Article  Google Scholar 

  6. G. N. Ramachandran, C. Ramakrishnan, and V. Sasisekharan. Stereochemistry of polypeptide chain configurations. Journal of Molecular Biology, 7:95–99, 1963.

    Article  Google Scholar 

  7. Rajarshi Maiti, Gary H. Van Domselaar, and David S. Wishart. MovieMaker: A web server for rapid rendering of protein motions and interactions. Nucl. Acids Res., 33(suppl2):W358–362, 2005.

    Article  Google Scholar 

  8. Werner G. and Mark Gerstein. The morph server: Af standarized system for analyszing and visualizing macromolecular motions in database framework. Nucl. Acids Res., 28:1665–1675, 2000.

    Article  Google Scholar 

  9. S Flores, N Echols, D Milburn, B Hespenheide, K Keating, J Lu, S Wells, EZ Yu, M Thorpe, and M Gerstein. The database of macromolecular motions: new features added at the decade mark. Nucleic Acids Res, 34:D296–301, 2006.

    Article  Google Scholar 

  10. Tamar Schlick. Molecular Modeling and Simulation. Springer, 2006.

    Google Scholar 

  11. Wendy D. Cornell, Piotr Cieplak, Christopher I. Byly, Ian R. Gould, Jr Kenneth M. Merz, David M. Ferguson, David C. Spellmeyer, Thomas Fox, James W. Caldwell, and Peter A. Kollman. A second generation force field for the simulations of proteins nucleic acids and organic molecules. Journal of American Chemical Society, 117:5179–5197, 1995.

    Article  Google Scholar 

  12. V. Petuya, A. Alonso, Ch. Pinto, O. Altuzarra, and A. Hernandez. A new general purpose method to solve the forward kinematic problem in parallel manipulators. Advanced Robotics, 2008.

    Google Scholar 

  13. Linus Pauling and Robert B. Corey. Atomic coordinates and structure factors for two helical configurations of polypeptide chains. Proceedings of the National Academi of Sciences, 37, 1951.

    Google Scholar 

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Acknowledgments

The authors wish to acknowledge the financial support received from the Spanish Government through the Ministerio de Educaci´y Ciencia (Project DPI2008-00159), the FEDER funds of the European Union and the Basque Regional Government (Project GIC07/78).

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Correspondence to V. Petuya .

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Petuya, V., Diez, M., Urizar, M., Hernández, A. (2012). Kinematics Study of Protein Chains and Protein Motion Simulation. In: Ananthasuresh, G., Corves, B., Petuya, V. (eds) Micromechanics and Microactuators. Mechanisms and Machine Science, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2721-2_9

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  • DOI: https://doi.org/10.1007/978-94-007-2721-2_9

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2720-5

  • Online ISBN: 978-94-007-2721-2

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