Pattern Recognition of Adsorbing HP Lattice Proteins

POSTER

Abstract

Protein adsorption is relevant in fields ranging from medicine to industry, and the qualitative behavior exhibited by course-grained models could shed insight for further research in such fields. Our study on the selective adsorption of lattice proteins utilizes the Wang-Landau algorithm to simulate the Hydrophobic-Polar (H-P) model\footnote{K. A. Dill, Biochemistry 24, 1501 (1985); K. F. Lau and K. A. Dill, Macromolecules 22, 3986 (1989).} with an efficient set of Monte Carlo moves\footnote{T. W\"ust and D. P. Landau, Phys. Rev. Lett. 102, 178101 (2009); J. Chem. Phys. 137, 064903 (2012).}. Each substrate is modeled as a square pattern of 9 lattice sites which attract either H or P monomers, and are located on an otherwise neutral surface. The fully enumerated set of 102 unique surfaces is simulated with each protein sequence. A collection of 27-monomer sequences\footnote{M. Mann, D. Maticzka, R. Saunders, and R. Backofen. HFSP Journal 2. 396. Special issue on protein folding: experimental and theoretical approaches.(2008).} is used-- each of which is non-degenerate and protein-like. Thermodynamic quantities such as the specific heat and free energy are calculated from the density of states, and are used to investigate the adsorption of lattice proteins on patterned substrates.

Authors

  • Matthew S. Wilson

    Center for Simulational Physics, University of Georgia

  • Guangjie Shi

    Center for Simulational Physics, University of Georgia

  • Thomas W\"ust

    Scientific IT Services, ETH Zurich

  • David P. Landau

    Center for Simulational Physics, University of Georgia, The University of Georgia

  • Friederike Schmid

    Institute of Physics, Johannes Gutenberg University