IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v482y2017icp249-261.html
   My bibliography  Save this article

Schottky-like anomalies and phase transitions in ideal heteropolymer proteinogenic chains in terms of size and single-residue helical propensity

Author

Listed:
  • Olivares-Quiroz, L.
  • Hernández, D.

Abstract

Proteins belong to a class of biological macromolecules capable to undergo thermodynamic phase transitions from random one-dimensional to three-dimensional non-periodic structures. For a large class of proteins, such configurational phase transitions can be directly associated with a passage from poor or non-biologically active states to highly biologically-active conformations. In this work we present a simple model suitable to study analytical and numerically thermodynamic properties for an ideal heteropolymer chain X1−X2⋯−XN composed by N aminoacid residues. This model includes as relevant parameters the single-residue helical propensity ωj associated to residue Xj and characteristic energies, ϵj and Uj corresponding to native and non-native contact energies, respectively. We derive analytical expressions for the partition function Z when two types of energy spectra E are considered. One corresponding to all-or-none transitions typically observed in protein folding and a second one which considers partial contributions to the folded state. Specific heat Cv, configurational entropy S, average energy 〈E〉 and average occupancy number N are discussed in order to analyze the onset of thermodynamic phase transitions and Schottky-like anomalies in polypeptide chains of different size.

Suggested Citation

  • Olivares-Quiroz, L. & Hernández, D., 2017. "Schottky-like anomalies and phase transitions in ideal heteropolymer proteinogenic chains in terms of size and single-residue helical propensity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 249-261.
  • Handle: RePEc:eee:phsmap:v:482:y:2017:i:c:p:249-261
    DOI: 10.1016/j.physa.2017.04.063
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437117303552
    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.2017.04.063?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.

    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:482:y:2017:i:c:p:249-261. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.