...
首页> 外文期刊>Acta Biotheoretica >Protein folding and evolution are driven by the maxwell demon activity of proteins
【24h】

Protein folding and evolution are driven by the maxwell demon activity of proteins

机译:蛋白质的麦克斯韦恶魔活性驱动蛋白质的折叠和进化

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

In this paper we propose a theoretical model of protein folding and protein evolution in which a polypeptide(sequence/structure)is assumed to behave as a Maxwell Demon or Information Gathering and Using System(IGUS)that performs measurements aiming at the construction of the native structure.Our model proposes that a physical meaning to Shannon information(If)and Chaitin's algorithmic information(K)parameters can be both defined and referred from the IGUS standpoint.Our hypothesis accounts for the interdependence of protein folding and protein evolution through mutual influencing relationships mediated by the IGUS.In brief,IGUS activity in protein folding determines long term tendencies that emerge at the evolutionary time-scale.Thus,protein evolution is a consequence of measurements executed by proteins at the cellular level,where the IGUS imposes a tendency to attain a highly unique stable native form that promotes the updating of the information content.The folding kinetics observed is,thus,the outcome of an evolutionary process where the polypeptide-IGUS drives the evolution of its linear sequence.Finally,we describe protein evolution as an entropic process that tends to increase the content of mutual algorithmic information between the sequence and the structure.This model enables one:1.To comprehend that full determination of the three-dimensional structure by the linear sequence is a tendency where satisfaction is only possible at thermodynamic equilibrium.2.To account for the observed randomness of the amino acid sequences.3.To predict an alternation of periods of selection and neutral diffusion during protein evolutionary time.
机译:在本文中,我们提出了蛋白质折叠和蛋白质进化的理论模型,其中假定多肽(序列/结构)表现为麦克斯韦恶魔或信息收集和使用系统(IGUS),该系统执行针对天然构建的测量我们的模型建议可以从IGUS的角度定义和引用Shannon信息(If)和Chaitin的算法信息(K)参数的物理含义。我们的假设通过相互影响的关系解释了蛋白质折叠和蛋白质进化的相互依赖性。简而言之,蛋白质折叠中的IGUS活性决定了在进化时间尺度上出现的长期趋势。因此,蛋白质进化是蛋白质在细胞水平上进行测量的结果,其中IGUS施加了一种趋势。获得了高度独特的稳定天然形式,可促进信息内容的更新。观察到的折叠动力学因此,是多肽-IGUS推动其线性序列进化的进化过程的结果。最后,我们将蛋白质进化描述为一个熵过程,该过程倾向于增加序列和结构之间的相互算法信息。该模型使得:1.理解线性序列对三维结构的完全确定是一种趋势,其中只有在热力学平衡时才可能满足。2.考虑到氨基酸序列的随机性。预测蛋白质进化期间选择和中性扩散期的交替。

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