首页> 外文期刊>Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological >Improved treatment of cyclic beta-amino acids and successful prediction of beta-Peptide secondary structure using a modified force field: AMBER*C
【24h】

Improved treatment of cyclic beta-amino acids and successful prediction of beta-Peptide secondary structure using a modified force field: AMBER*C

机译:使用改进的力场:AMBER * C改进了对环状β-氨基酸的处理并成功预测了β-肽的二级结构

获取原文
获取原文并翻译 | 示例
           

摘要

We added parameters to the AMBER* force field to model cyclic beta-amino acid derivatives moro accurately within the commonly used MacroModel program. In an effort to generate an improved treatment of cyclohexane and cyclopentane conformational preferences, carbon-carbon torsional parameters were modified and incorporated into a force field we call AMBER*C. Simulation of traits 2-aminocyclohexanecarboxylic acid (trans-ACHC) and trans-2-aminocyclopentanecarboxylic acid (trans-ACPC) derivatives using AMBER*C produces more realistic energy differences between (pseudo)diaxial and (pseudo)diequatorial conformations than does simulation using AMBER*. AMBER*C molecular dynamics simulations more accurately reproduce the experimental hydrogen-bonding tendencies of simple diamide derivatives of trans-ACHC and trans-ACPC than do simulations using the AMBER* force field. More importantly, this modified force field allows accurate qualitative prediction of the helical secondary structures adopted by beta-amino acid homo-oligomers. (C) 2000 John Wilely & Sons, Inc. [References: 70]
机译:我们在AMBER *力场中添加了参数,以在常用的MacroModel程序中精确地模拟环状β-氨基酸衍生物。为了产生对环己烷和环戊烷构象偏好的改进处理,对碳-碳扭转参数进行了修改,并将其纳入了我们称为AMBER * C的力场中。使用AMBER * C模拟2-氨基环己烷羧酸(trans-ACHC)和反式-2-氨基环戊烷羧酸(trans-ACPC)衍生物比使用AMBER模拟在(伪)双轴构象和(伪)赤道构象之间产生更现实的能量差异。 *。与使用AMBER *力场进行模拟相比,AMBER * C分子动力学模拟可以更准确地再现反式ACHC和反式ACPC的简单二酰胺衍生物的实验氢键趋势。更重要的是,这种改进的力场可以精确定性地预测β-氨基酸均聚物所采用的螺旋二级结构。 (C)2000 John Wilely&Sons,Inc. [参考:70]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号