Department of Chemistry and Theoretical Chemistry Institute, University of Wisconsin, Madison, 1101 University Ave, Madison, Wisconsin 53706, USA.
J Comput Chem. 2010 Jul 30;31(10):2063-77. doi: 10.1002/jcc.21493.
All-atom molecular mechanics (MM) force field parameters are developed for the backbone of acyclic beta-amino acid using an improved version of the multiobjective evolutionary algorithm (MOEA). The MM model is benchmarked using beta(3)-homo-Alanine (beta(3)-hAla) diamide in water with SCC-DFTB/MM simulations as the reference. Satisfactory agreements are found between the MM and SCC-DFTB/MM results regarding the distribution of key dihedral angles for the beta(3)-hAla diamide in water. The MM model is further applied to a beta-hepta-peptide in methanol solution. The calculated NOE values and (3)J coupling constants averaged over different trajectories are consistent with experimental data. By contrast, simulations using parameters directly transferred from the CHARMM22 force field for proteins lead to much worse agreement, which highlights the importance of careful parameterization for non-natural peptides, for which the improved MOEA is particularly useful. Finally, as an initial application of the new force field parameters, the behaviors of a short random copolymer consisting of beta amino acids in bulk solution and membrane/water interface are studied using a generalized Born implicit solvent model (GBSW). Results for four selected sequences show that segregation of hydrophobic and cationic groups occur easily at the membrane/solution interface for all sequences. The sequence that features alternating short blocks exhibits signs of lower stability at the interface compared to other sequences. These results confirm the hypothesis in recent experimental studies that beta-amino-acid based random copolymers can develop a high degree of amphiphilicity without regular three-dimensional structure.
使用改进的多目标进化算法(MOEA)为非循环β-氨基酸的骨架开发全原子分子力学(MM)力场参数。使用 SCC-DFTB/MM 模拟作为参考,通过β(3)-同型丙氨酸(β(3)-hAla)二酰胺在水中的 SCC-DFTB/MM 模拟来基准测试 MM 模型。在水中的β(3)-hAla 二酰胺的关键二面角分布方面,MM 模型与 SCC-DFTB/MM 结果之间存在令人满意的一致性。该 MM 模型进一步应用于甲醇溶液中的β-七肽。计算的 NOE 值和(3)J 偶合常数在不同轨迹上的平均值与实验数据一致。相比之下,使用直接从蛋白质的 CHARMM22 力场转移的参数进行模拟导致一致性差得多,这突出了仔细参数化对于非天然肽的重要性,对于这些肽,改进的 MOEA 特别有用。最后,作为新力场参数的初步应用,使用广义 Born 隐式溶剂模型(GBSW)研究了由β氨基酸组成的短随机共聚物在本体溶液和膜/水界面中的行为。对于四个选定序列的结果表明,对于所有序列,疏水性和阳离子基团在膜/溶液界面上很容易发生分离。与其他序列相比,具有交替短块的序列在界面处表现出较低稳定性的迹象。这些结果证实了最近实验研究中的假设,即基于β-氨基酸的随机共聚物可以在没有规则三维结构的情况下发展出高度的两亲性。