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関連する概念動画

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

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VSEPR Theory for Determination of Electron Pair Geometries
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Protein Folding01:22

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Conformations of Cycloalkanes02:29

Conformations of Cycloalkanes

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Adolf von Baeyer attempted to explain the instabilities of small and large cycloalkane rings using the concept of angle strain — the strain caused by the deviation of bond angles from the ideal 109.5° tetrahedral value for sp3  hybridized carbons. However, while cyclopropane and cyclobutane are strained, as expected from their highly compressed bond angles, cyclopentane is more strained than predicted, and cyclohexane is virtually strain-free. Hence, Baeyer’s theory that...
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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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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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Protein Organization01:13

Protein Organization

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Updated: Jul 11, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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シーケンスクラスタリングとAlphaFold2による複数の構成を予測する

Hannah K Wayment-Steele1, Adedolapo Ojoawo1, Renee Otten1,2

  • 1Department of Biochemistry, Brandeis University and Howard Hughes Medical Institute, Waltham, MA, USA.

Nature
|November 13, 2023
PubMed
まとめ
この要約は機械生成です。

AF-Clusterにより,AlphaFold2は,配列の並べ替えをクラスタリングすることで,他のタンパク質状態を予測することができます. この方法により 変形タンパク質が確認されました

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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関連する実験動画

Last Updated: Jul 11, 2025

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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科学分野:

  • 構造生物学
  • コンピュータ生物学
  • バイオ物理学

背景:

  • タンパク質の機能は複数の構成状態に依存している.
  • ポイント変異はこれらの状態の人口を変化させることができます
  • AlphaFold2は単一のタンパク質の構造を正確に予測します

研究 の 目的:

  • タンパク質の代替構成状態のサンプリング方法を開発する.
  • タンパク質の進化的分布を調査する
  • タンパク質状態への突然変異の影響を テストする

主な方法:

  • 配列の類似性によって複数の配列をクラスタリングする.
  • 代替状態のサンプルにAlphaFold2を適用する.
  • 核磁共振スペクトロスコーピーを用いて検証した.
  • 状態の切り替えを誘導する変異の設計と検証

主要な成果:

  • AFクラスターは 変形タンパク質の 代替状態を成功裏に検出した.
  • KaiBの予測された形状はクラスターにわたって分布した.
  • 実験的検証により,KaiBの変異と変異に対するAF-クラスターの予測が確認されました.
  • Mpt53の仮代替状態が特定された.

結論:

  • AF-Clusterは タンパク質の構造を調査する強力なツールです
  • この方法は,タンパク質の機能と病気のメカニズムを理解するのに役立ちます.
  • コンピューティングと実験的アプローチを統合することで タンパク質科学は進歩するでしょう