首页> 美国卫生研究院文献>Biophysical Journal >Toward an Accurate Theoretical Framework for Describing Ensembles for Proteins under Strongly Denaturing Conditions
【2h】

Toward an Accurate Theoretical Framework for Describing Ensembles for Proteins under Strongly Denaturing Conditions

机译:建立描述强烈变性条件下蛋白质集合的精确理论框架

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Our focus is on an appropriate theoretical framework for describing highly denatured proteins. In high concentrations of denaturants, proteins behave like polymers in a good solvent and ensembles for denatured proteins can be modeled by ignoring all interactions except excluded volume (EV) effects. To assay conformational preferences of highly denatured proteins, we quantify a variety of properties for EV-limit ensembles of 23 two-state proteins. We find that modeled denatured proteins can be best described as follows. Average shapes are consistent with prolate ellipsoids. Ensembles are characterized by large correlated fluctuations. Sequence-specific conformational preferences are restricted to local length scales that span five to nine residues. Beyond local length scales, chain properties follow well-defined power laws that are expected for generic polymers in the EV limit. The average available volume is filled inefficiently, and cavities of all sizes are found within the interiors of denatured proteins. All properties characterized from simulated ensembles match predictions from rigorous field theories. We use our results to resolve between conflicting proposals for structure in ensembles for highly denatured states.
机译:我们的重点是用于描述高度变性蛋白质的适当理论框架。在高浓度的变性剂中,蛋白质的行为就像在良好溶剂中的聚合物,变性蛋白质的集合体可以通过忽略除排除体积(EV)效应以外的所有相互作用来建模。为了测定高度变性的蛋白质的构象偏好,我们对23种两种状态的蛋白质的EV限制集合的各种性质进行了量化。我们发现建模的变性蛋白可以最好地描述如下。平均形状与长椭圆形一致。合奏的特点是相关的波动较大。特定于序列的构象偏好限于跨越五到九个残基的局部长度尺度。除了局部长度标度外,链的性质还遵循定义明确的幂定律,这是通用聚合物在EV限值内所期望的。平均可用体积填充效率低下,并且在变性蛋白质的内部发现了各种大小的空腔。通过模拟集成表征的所有属性都与严格的场论预测相匹配。我们使用我们的结果来解决高度变性状态的合奏中相互矛盾的结构建议。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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