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Variation in Structure of a Protein (H2AX) with Knowledge-Based Interactions

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  • Miriam Fritsche
  • Ras B Pandey
  • Barry L Farmer
  • Dieter W Heermann

Abstract

The structure of a protein (H2AX) as a function of temperature is examined by three knowledge-based phenomenological interactions, MJ (Miyazawa and Jernigan), BT (Betancourt and Thirumalai), and BFKV (Bastolla et al.) to identify similarities and differences in results. Data from the BT and BFKV residue-residue interactions verify finding with the MJ interaction, i.e., the radius of gyration (Rg) of H2AX depends non-monotonically on temperature. The increase in Rg is followed by a decay on raising the temperature with a maximum at a characteristic value, Tc, which depends on the knowledge-based contact matrix, TcBFKV ≤ TcMJ ≤ TcBT. The range (ΔT) of non-monotonic thermal response and its decay pattern with the temperature are sensitive to interaction. A rather narrow temperature range of ΔTMJ ≈ 0.015–0.022 with the MJ interaction expands and shifts up to ΔTBT ≈ 0.018–0.30 at higher temperatures with the BT interaction and shifts down with the BFKV interaction to ΔTBFKV ≈ 0.011–0.018. The scaling of the structure factor with the wave vector reveals that the structure of the protein undergoes a transformation from a random coil at high temperature to a globular conformation at low temperatures.

Suggested Citation

  • Miriam Fritsche & Ras B Pandey & Barry L Farmer & Dieter W Heermann, 2013. "Variation in Structure of a Protein (H2AX) with Knowledge-Based Interactions," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-6, May.
  • Handle: RePEc:plo:pone00:0064507
    DOI: 10.1371/journal.pone.0064507
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    Cited by:

    1. Ras B Pandey & Barry L Farmer, 2013. "Conformational Response to Solvent Interaction and Temperature of a Protein (Histone h3.1) by a Multi-Grained Monte Carlo Simulation," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-9, October.
    2. Pandey, R.B., 2021. "A Monte Carlo simulation of a protein (CoVE) in a matrix of random barriers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).

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