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相关概念视频

Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

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When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
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Random Sampling Method01:09

Random Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Two-Dimensional Force System01:20

Two-Dimensional Force System

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A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:
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Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

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Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
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Three-Dimensional Force System01:30

Three-Dimensional Force System

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In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
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Rigid Body Equilibrium Problems - II01:21

Rigid Body Equilibrium Problems - II

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A rigid body is in static equilibrium when the net force and the net torque acting on the system are equal to zero.
Consider two children sitting on a seesaw, which has negligible mass. The first child has a mass (m1) of 26 kg and sits at point A, which is 1.6 meters (r1) from the pivot point B; the second child has a mass (m2) of 32 kg and sits at point C. How far from the pivot point B should the second child sit (r2) to balance the seesaw?
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相关实验视频

Updated: Sep 16, 2025

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

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af2rave:用基于物理的采样生成蛋白质组合.

Da Teng1,2, Vanessa J Meraz1, Akashnathan Aranganathan1

  • 1Institute for Physical Science and Technology, University of Maryland, College Park Maryland 20742 USA ptiwary@umd.edu.

Digital discovery
|July 7, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一个自动化的Python包,用于通过将深度学习与基于物理的模拟相结合来预测替代蛋白质构造. 该工具有效地探索蛋白质动态,帮助药物发现和结构生物学研究.

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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Ensemble Force Spectroscopy by Shear Forces
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相关实验视频

Last Updated: Sep 16, 2025

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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科学领域:

  • 计算生物学 计算生物学
  • 结构生物学 结构生物学
  • 生物物理学的生物物理.

背景情况:

  • 蛋白质结构是动态的,存在于具有功能相关的结构的集合中.
  • 这些形状组合的实验分辨率具有挑战性.
  • 像AlphaFold2这样的深度学习模型可以预测集合,但缺乏明确的物理验证.

研究的目的:

  • 引入一个开源的Python包,用于替代蛋白质构造的自动预测.
  • 将基于机器学习的结构预测与基于物理的采样相结合.
  • 为了有效地探索当地的构造空间,并识别功能状态与最低限度的先前知识.

主要方法:

  • 结合了减少的多重序列对齐 (MSA) AlphaFold2预测与偏向或无偏向的分子动力学 (MD) 模拟.
  • 具有自动化特征选择模块,用于识别重要的集体变量.
  • 在包括大肠杆菌腺激酶 (ADK) 和人类DDR1激酶在内的系统上得到验证.

主要成果:

  • 成功地确定了ADK和DDR1激酶的独特功能状态,而之前的生物学知识很少.
  • 证明了与 SARS-CoV-2 尖端蛋白受体结合域的长期无偏的 MD 模拟可比的构造性采样效率.
  • 与传统方法相比,显著降低了计算成本.

结论:

  • 该包提供了一种简化的工作流程,用于生成和分析替代蛋白质构造.
  • 为药物发现和结构生物学提供了一个易于使用的工具.
  • 通过将AI与物理模拟集成,增强了蛋白质构造多样性的探索.