Peptide binding to a graphene sheet is studied by a coarse-grained approach. All-atom molecular dynamics (MD) is used to assess the adsorption energy (e.g. binding) of each amino acid with graphene. The relative adsorption energy of each residue is normalized to describe its coarse-grained interactions with graphene which is used as an input to a phenomenological interaction in an all-residue coarse-grained (ARCG) representation of the peptide chain. Large scale Monte Carlo (MC) simulations are performed to study the stability of peptides (P1: 1H–2S–3S–4Y–5W–6Y–7A–8F–9N–10N–11K–12T and P2: 1E–2P–3L–4Q–5L–6K–7M) binding to a graphene sheet as a function of temperature. A number of local and global physical quantities are analyzed including mobility and substrate-in-contact profiles of each residue, density profiles, root mean square displacement of the center of mass of each peptide and its radius of gyration. We find that P1 has a higher probability of binding to a graphene sheet than P2 supported by both local and global physical quantities. All residues of P1 can bind to the graphene sheet at low temperatures; however, three residues 4Y–5W–6Y seem to anchor it most strongly at higher temperatures, which is consistent with an all-atom MD simulation.
Computer simulations are performed to study kinetic gelation on a simple cubic lattice. Two models are considered: (1) irreversible gelation in which the monomers and microgels attempt to react with their neighboring particles with a certain probability () and (2) reversible gelation in which the bonds are broken with a certain probability (). The growth of the extent of reaction (i.e., the concentration of the bonds grown), volume fraction of the gel, weight average degree of polymerization, and the correlation length are studied as a function of and . We observe that (i) the concentration of bonds grows nonlinearly with time. (ii) The critical gel time () increases nonlinearly on increasing the degree of reversibility, , while the critical concentration () at the gel point is insensitive to and . (iii) For large , our data suggest that the sol-to-gel transition may be nonuniversal.
15 February 2012 in Physica A: Statistical Mechanics and its Applications
A coarse-grained model is used to study the structure and dynamics of a human immunodeficiency virus-1 protease (1DIFA dimer) consisting of 198 residues in an effective solvent medium on a cubic lattice by Monte Carlo simulations for a range of interaction strengths. Energy and mobility profiles of residues are found to depend on the interaction strength and exhibit remarkable segmental symmetries in two monomers. Lowest energy residues such as Arg41 and Arg140 (most electrostatic and polar) are not the least mobile; despite the higher energy, the hydrophobic residues (Ile, Leu, and Val) are least mobile and form the core by pinning down the local segments for the globular structure. Variations in the gyration radius (Rg) and energy (Ec) of the protein show nonmonotonic dependence on the interaction strength with the smallest Rg around the largest value of Ec. Pinning of the conformations by the hydrophobic residues at high interaction strength seems to provide seed for the protein chain to collapse.
7 November 2008 in Journal of Polymer Science Part B: Polymer Physics