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相关概念视频

Phylogenetic Trees03:21

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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LPATH:一个半自动化的Python工具,用于聚类分子路径.

Anthony T Bogetti1, Jeremy M G Leung1, Lillian T Chong1

  • 1Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.

Journal of chemical information and modeling
|December 4, 2023
PubMed
概括
此摘要是机器生成的。

分析分子路径是具有挑战性的,因为它们的复杂性. LPATH工具使用语言学辅助方法将这些途径聚集在一起,简化了分子过渡机制的分析.

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科学领域:

  • 计算化学的计算化学
  • 生物物理学的生物物理.
  • 机器学习 机器学习

背景情况:

  • 分析分子路径对于理解过渡机制至关重要.
  • 路径分析由于多样性和可变长度而具有挑战性.
  • 现有的方法与大型数据集和复杂的路径结构作斗争.

研究的目的:

  • 介绍LPATH,这是一个用于半自动路径集群的新Python工具.
  • 为了促进分子动力学模拟路径的分析.
  • 为了使多样化和变长路径的有效分类.

主要方法:

  • 语言学辅助的路径聚类成不同的类.
  • 将配置空间分成关键状态.
  • 提取访问状态的文本字符串序列以进行路径匹配.
  • 采用两阶段机器学习方法来进行构造状态集群,以管理内存需求.

主要成果:

  • LPATH成功地实施了语言学辅助的集群方法.
  • 该工具有效地将路径分类为物理上合理的类别.
  • 在分析二的C7eq到C7ax形状过渡时证明了实用性,提供了准确的概率.

结论:

  • LPATH为分子路径分析提供了一种高效且可扩展的解决方案.
  • 该工具通过简化路径数据来帮助理解复杂的分子过程.
  • LPATH与 WESTPA 和传统模拟兼容,扩大了其适用性.