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関連する概念動画

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

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

916
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

Newman Projections

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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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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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-Nearest Neighbor アダプティブサンプリング,コンフォーム空間を効率的に探求する簡単なツール

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
まとめ
この要約は機械生成です。

この研究では,シミュレーションの出発点を賢明に選択することで分子動力学 (MD) シミュレーションを加速する新しい方法であるk-NN適応サンプリング (kNN-AS) が導入されています. kNN-ASは,境界状態に焦点を当てて複雑な分子システムを効率的に探求します.

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科学分野:

  • コンピュータ生物学
  • バイオ物理学
  • 分子モデリング

背景:

  • 分子ダイナミクス (MD) のシミュレーションは,バイオ分子システムの研究に不可欠ですが,計算が集中しています.
  • 既存の適応型サンプリング方法は,探索を誘導したり,複雑な非凸なエネルギー環境を処理する際に限界があります.
  • 構成空間を効率的に探求することは,分子行動を理解するために不可欠です.

研究 の 目的:

  • バイオ分子シミュレーションを加速させるための新しい適応型サンプリングアルゴリズムを開発する.
  • 複雑な構成空間を探索する現行の方法の限界に対処する.
  • 計算上効率的で広く適用可能なサンプリング技術を提供すること.

主な方法:

  • k-NNアダプティブサンプリング (kNN-AS) を導入し,サンプリングされた構成の k-近隣グラフを使用した.
  • kNN-ASは,コンフォメーション空間内で特定された境界状態から新しいシミュレーションを優先的に開始します.
  • アルゴリズムは人工エネルギー機能とタンパク質システムでテストされました.

主要な成果:

  • kNN-ASは,シンプルで複雑な人工エネルギー環境の両方で最先端のパフォーマンスを示しました.
  • この方法は,タンパク質シミュレーションのテストケースで良好な汎用性を示した.
  • 実行は軽量でシンプルで,未知のエネルギー景観の次元に適しています.

結論:

  • kNN-ASは,分子ダイナミクスシミュレーションを加速させるための有効で効率的な新しい適応サンプリングアルゴリズムです.
  • 境界状態を探求するアルゴリズムの能力は 複雑で高次元のシステムに適しています
  • kNN-ASは,ランドスケープ特性が未知である計算的に要求される生物分子シミュレーションのための実用的なソリューションを提供します.