IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v388y2009i21p4609-4618.html
   My bibliography  Save this article

Long range correlation of hydrophilicity and flexibility along the calcium binding protein chains

Author

Listed:
  • Craciun, Dana
  • Isvoran, Adriana
  • Avram, N.M.

Abstract

Long range correlation concerning hydrophilicity and flexibility along a number of 80 calcium binding protein sequences is confirmed by using spectral analysis and detrended fluctuations analysis methods, as well as by Hurst exponent calculations. There are no significant differences between the correlation properties concerning these properties for the two structural subfamilies, extended and compact, of the calcium binding proteins and they are also similar with the correlation properties revealed by other investigated proteins. This result sustains the hypothesis that the long range correlation of hydrophilicity and flexibility along the chain is a common feature of proteins.

Suggested Citation

  • Craciun, Dana & Isvoran, Adriana & Avram, N.M., 2009. "Long range correlation of hydrophilicity and flexibility along the calcium binding protein chains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4609-4618.
    • Handle: RePEc:eee:phsmap:v:388:y:2009:i:21:p:4609-4618
    DOI: 10.1016/j.physa.2009.07.042
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437109006037
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2009.07.042?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yu, Zu-Guo & Anh, Vo & Lau, Ka-Sing, 2004. "Fractal analysis of measure representation of large proteins based on the detailed HP model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(1), pages 171-184.
    2. Herzel, Hanspeter & Große, Ivo, 1995. "Measuring correlations in symbol sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 216(4), pages 518-542.
    3. Katsaloulis, P. & Theoharis, T. & Zheng, W.M. & Hao, B.L. & Bountis, A. & Almirantis, Y. & Provata, A., 2006. "Long-range correlations of RNA polymerase II promoter sequences across organisms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 308-322.
    4. Morariu, V.V. & Coza, A., 2003. "Nonlinear properties of the atomic vibrations in protein backbones," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 320(C), pages 461-474.
    5. Higman, Victoria A. & Greene, Lesley H., 2006. "Elucidation of conserved long-range interaction networks in proteins and their significance in determining protein topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(2), pages 595-606.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ciorsac, Alecu & Craciun, Dana & Ostafe, Vasile & Isvoran, Adriana, 2011. "Nonlinear correlations in the hydrophobicity and average flexibility along the glycolytic enzymes sequences," Chaos, Solitons & Fractals, Elsevier, vol. 44(4), pages 191-197.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ciorsac, Alecu & Craciun, Dana & Ostafe, Vasile & Isvoran, Adriana, 2011. "Nonlinear correlations in the hydrophobicity and average flexibility along the glycolytic enzymes sequences," Chaos, Solitons & Fractals, Elsevier, vol. 44(4), pages 191-197.
    2. Z S Hua & B Zhang & J Yang & D S Tan, 2007. "A new approach of forecasting intermittent demand for spare parts inventories in the process industries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(1), pages 52-61, January.
    3. Giovanni Villani, 2022. "Affinity and Correlation in DNA," J, MDPI, vol. 5(2), pages 1-18, April.
    4. Alvarez-Ramirez, Jose & Ibarra-Valdez, Carlos & Rodriguez, Eduardo & Dagdug, Leonardo, 2008. "1/f-Noise structures in Pollocks's drip paintings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(1), pages 281-295.
    5. Dehnert, M. & Helm, W.E. & Hütt, M.-Th., 2003. "A discrete autoregressive process as a model for short-range correlations in DNA sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 327(3), pages 535-553.
    6. Rosenblum, Michael & Kurths, Jürgen, 1995. "A model of neural control of the heart rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 215(4), pages 439-450.
    7. Silva, R. & Silva, J.R.P. & Anselmo, D.H.A.L. & Alcaniz, J.S. & da Silva, W.J.C. & Costa, M.O., 2020. "An alternative description of power law correlations in DNA sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    8. Moghaddasi, Hanieh & Rezaei, Soghra & Darooneh, Amir Hossein & Heshmati, Emran & Khalifeh, Khosrow, 2020. "A comparative analysis of dipeptides distribution in eukaryotes and prokaryotes by statistical mechanics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
    9. Chapeau-Blondeau, François, 2007. "Autocorrelation versus entropy-based autoinformation for measuring dependence in random signal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 1-18.
    10. Michael Schauperl & Julian E Fuchs & Birgit J Waldner & Roland G Huber & Christian Kramer & Klaus R Liedl, 2015. "Characterizing Protease Specificity: How Many Substrates Do We Need?," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-17, November.
    11. Morariu, V.V. & Isvoran, Adriana & Zainea, Oana, 2007. "A non-linear approach to the structure–mobility relationship in protein main chains," Chaos, Solitons & Fractals, Elsevier, vol. 32(4), pages 1305-1315.
    12. Wu, Zuo-Bing, 2010. "Global transposable characteristics in the complete DNA sequence of the yeast," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5698-5705.
    13. Coza, A. & Morariu, V.V., 2003. "Generating 1/fβ noise with a low-dimensional attractor characteristic: its significance for atomic vibrations in proteins and cognitive data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 320(C), pages 449-460.
    14. Guo Sheng Han & Zu Guo Yu & Vo Anh & Anaththa P D Krishnajith & Yu-Chu Tian, 2013. "An Ensemble Method for Predicting Subnuclear Localizations from Primary Protein Structures," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-14, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:388:y:2009:i:21:p:4609-4618. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.