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相关概念视频

Allosteric Proteins-ATCase01:19

Allosteric Proteins-ATCase

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Binding sites linkages can regulate a protein's function.  For example, enzyme activity is often regulated through a feedback mechanism where the end product of the biochemical process serves as an inhibitor.
Aspartate transcarbamoylase (ATCase) is a cytosolic enzyme that catalyzes the condensation of L-aspartate and carbamoyl phosphate to  N-carbamoyl-L-aspartate. This reaction is the first step in pyrimidine biosynthesis. UTP and CTP, the end products of the pyrimidine synthesis...
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相关实验视频

Updated: Jun 14, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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HyperTraPS-CT:用灵活的数据和模型结构推断和预测积累路径.

Olav N L Aga1,2, Morten Brun3, Kazeem A Dauda3

  • 1Computational Biology Unit, University of Bergen, Bergen, Norway.

PLoS computational biology
|September 4, 2024
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概括

我们开发了HyperTraPS-CT来建模复杂的生物积累过程,在连续时间内有许多相互作用的特征. 这种方法准确地从各种数据中捕获特征动态,从而能够更好地预测癌症和疾病进展.

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科学领域:

  • 计算生物学 计算生物学
  • 系统生物学 系统生物学
  • 进化生物学 进化生物学

背景情况:

  • 积累过程在生物学中至关重要,从进化到疾病.
  • 当前的方法难以处理复杂的,多特征的交互和各种数据类型.

研究的目的:

  • 介绍HyperTraPS-CT,用于许多合特征的连续时间动态.
  • 处理不受限制的状态空间和不确定的观察时间.

主要方法:

  • 超立方过渡路径在连续时间采样 (HyperTraPS-CT).
  • 适应横截面,纵向和遗传学数据,采样时间灵活.
  • 支持贝叶斯式和最大概率推理对任意特征相互作用.

主要成果:

  • 识别特征子集之间的正负相互作用.
  • 能够预测未来和未观察到的特征.
  • 为功能交互提供可视化和模型选择.

结论:

  • HyperTraPS-CT提供了一种灵活而强大的方法来建模复杂的生物积累过程.
  • 在癌症突变和抗菌素耐药性研究中显示出有用性.
  • 方便准确的预测,与应用研究重点保持一致.