Computational Screening of Biomolecular Adsorption and Self-Assembly on Nanoscale Surfaces

被引:65
作者
Heinz, Hendrik [1 ]
机构
[1] Univ Akron, Dept Polymer Engn, Akron, OH 44325 USA
关键词
adsorption; interfaces; self-assembly; computational screening; molecular dynamics; GOLD; MONTMORILLONITE; PEPTIDES; DYNAMICS; CHAINS; MICA;
D O I
10.1002/jcc.21421
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The quantification of binding properties of ions, surfactants, biopolymers, and other macromolecules to nanometer-scale surfaces is often difficult experimentally and a recurring challenge in molecular simulation. A simple and computationally efficient method is introduced to compute quantitatively the energy of adsorption of solute molecules on a given surface. Highly accurate summation of Coulomb energies as well as precise control of temperature and pressure is required to extract the small energy differences in complex environments characterized by a large total energy. The method involves the simulation of four systems, the surface-solute-solvent system, the solute-solvent system, the solvent system, and the surface-solvent system under consideration of equal molecular volumes of each component under NVT conditions using standard molecular dynamics or Monte Carlo algorithms. Particularly in chemically detailed systems including thousands of explicit solvent molecules and specific concentrations of ions and organic solutes, the method takes into account the effect of complex nonbond interactions and rotational isomeric states on the adsorption behavior on surfaces. As a numerical example, the adsorption of a dodecapeptide on the Au {111} and mica {001} surfaces is described in aqueous solution. (C) 2009 Wiley Periodicals, Inc. J Comput Chem 31: 1564-1568, 2010
引用
收藏
页码:1564 / 1568
页数:5
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