An efficient method for analyzing conformational properties of a polymer in solvent
スポンサーリンク
概要
- 論文の詳細を見る
We propose an efficient method for investigating conformational properties of a polymer in solvent. The method is a combination of a Monte Carlo (MC) simulation applied to the polymer alone and a statistical-thermodynamic approach for incorporating solvent effects. To illustrate it, we analyze conformations of a simple polymer chain stabilized in a hard-sphere solvent. The generation of polymer conformations is performed using the self-avoiding random walk on a cubic lattice. We argue that by introducing the generalized-ensemble techniques to the MC simulation part, the method can be applied to studies on protein conformations in aqueous solution under any thermodynamic condition.
- 2011-02-28
論文 | ランダム
- Esophage noir associe a une hypothermie
- 今日のフランス青少年は宗教に関心があるか?
- 『赤と黒』における古典と歴史的故事のモチ-フ
- Anthocyanins, Phenolics, and Color of Cabernet Franc, Merlot, and Pinot Noir Wines from British Columbia
- ブドウのAFLP解析に対する制限酵素濃度の影響,並びにAFLP解析による'Pinot noir'及び'Pinot blanc'の識別