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相关概念视频

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

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At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
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Newman Projections02:06

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Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as...
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¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR01:15

¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR

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The axial and equatorial protons in cyclohexane can be distinguished by performing a variable-temperature NMR experiment. In this process, except for one proton, the remaining eleven protons are replaced by deuterium. The deuterium substitution avoids the possible peak splitting caused by the spin-spin coupling between the adjacent protons. The remaining proton flips between the axial and equatorial positions.
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Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure 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.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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相关实验视频

Updated: Sep 10, 2025

Combining X-Ray Crystallography with Small Angle X-Ray Scattering to Model Unstructured Regions of Nsa1 from S. Cerevisiae
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k-近邻自适应采样,一个简单的工具,以有效地探索合规空间

Evianne Rovers1,2,3, Anvith Thudi4,3, Jérôme Hénin5

  • 1Structural Genomics Consortium, Toronto M5G 1L7, Canada.

Journal of chemical theory and computation
|August 21, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了k-NN自适应采样 (kNN-AS),一种通过智能选择模拟起点来加快分子动力学 (MD) 模拟的新方法. kNN-AS通过专注于边界状态来有效地探索复杂的分子系统.

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科学领域:

  • 计算生物学
  • 生物物理
  • 分子建模

背景情况:

  • 分子动力学 (MD) 模拟对于研究生物分子系统至关重要,但计算密集.
  • 现有的适应性采样方法在指导勘探或处理复杂,非凸的能源景观方面存在局限性.
  • 有效地探索构造空间对于理解分子行为至关重要.

研究的目的:

  • 开发一种新的自适应采样算法以加速生物分子模拟.
  • 解决探索复杂形态空间的现有方法的局限性.
  • 提供计算效率高且广泛适用的采样技术.

主要方法:

  • 引入了k-NN自适应采样 (kNN-AS),使用采样构造的k-最近邻图.
  • kNN-AS优先从构造空间中识别的边界状态启动新的模拟.
  • 在人工能量功能和蛋白质系统上测试的算法.

主要成果:

  • kNN-AS在简单和复杂的人工能源环境中展示了最先进的性能.
  • 该方法在蛋白质模拟试验案例上显示出良好的概括能力.
  • 实施是轻量级的,简单的,适合未知的能源景观尺寸.

结论:

  • kNN-AS是一种有效和高效的新型自适应采样算法,用于加速分子动力学模拟.
  • 算法的探索边界状态的能力使得它非常适合复杂,高维的系统.
  • kNN-AS为计算要求高的生物分子模拟提供了一个实用的解决方案,