Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Transducer Mechanism: G Protein–Coupled Receptors01:30

Transducer Mechanism: G Protein–Coupled Receptors

2.0K
G Protein–Coupled Receptors (GPCRs) are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to various stimuli. GPCRs regulate critical physiological pathways and are excellent drug targets for treating diseases such as diabetes, cancer, obesity, depression, or Alzheimer's. Nearly 35% of approved drugs implement their therapeutic effects by selectively interacting with specific GPCRs.
GPCRs are also called heptahelical,...
2.0K
G Protein-coupled Receptors01:15

G Protein-coupled Receptors

12.1K
G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...
12.1K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
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...
4.2K
G-protein Coupled Receptors01:21

G-protein Coupled Receptors

119.0K
G-protein coupled receptors are ligand binding receptors that indirectly affect changes in the cell. The actual receptor is a single polypeptide that transverses the cell membrane seven times creating intracellular and extracellular loops. The extracellular loops create a ligand specific pocket which binds to neurotransmitters or hormones. The intracellular loops holds onto the G-protein.
119.0K
Activation and Inactivation of G Proteins01:22

Activation and Inactivation of G Proteins

7.2K
Heterotrimeric G proteins are guanine nucleotide-binding proteins. As the name suggests, heterotrimeric G proteins are composed of three subunits: alpha, beta, and gamma. They remain GDP-bound or GTP-bound inside the cells and switch between inactive/active states. The Gα subunit possesses the nucleotide-binding pocket that binds guanine nucleotides and switches between GDP or GTP-bound states. In contrast, the Gꞵ and Gγ subunits are always bound together with high...
7.2K
¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

847
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...
847

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

CU Cilia - an application for image analysis by machine learning - reveals significance of cysteine cathepsin K activity for primary cilia of human thyroid epithelial cells.

Frontiers in endocrinology·2025
Same author

OrgNet: orientation-gnostic protein stability assessment using convolutional neural networks.

Bioinformatics (Oxford, England)·2025
Same author

Computational methods for binding site prediction on macromolecules.

Quarterly reviews of biophysics·2025
Same author

Structural insights into the high basal activity and inverse agonism of the orphan receptor GPR6 implicated in Parkinson's disease.

Science signaling·2024
Same author

Approaching Optimal pH Enzyme Prediction with Large Language Models.

ACS synthetic biology·2024
Same author

graphLambda: Fusion Graph Neural Networks for Binding Affinity Prediction.

Journal of chemical information and modeling·2024
Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jul 5, 2025

Visualizing the Conformational Dynamics of Membrane Receptors Using Single-Molecule FRET
10:59

Visualizing the Conformational Dynamics of Membrane Receptors Using Single-Molecule FRET

Published on: August 17, 2022

3.2K

在使用机器学习的GPCR结构中描述构造状态.

Ilya Buyanov1, Petr Popov2

  • 1iMolecule, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.

Scientific reports
|January 11, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种机器学习方法来分类G蛋白结合受体 (GPCR) 构造. 该方法准确地区分了活跃和不活跃的状态,帮助药物发现工作.

更多相关视频

G Protein-selective GPCR Conformations Measured Using FRET Sensors in a Live Cell Suspension Fluorometer Assay
09:12

G Protein-selective GPCR Conformations Measured Using FRET Sensors in a Live Cell Suspension Fluorometer Assay

Published on: September 10, 2016

9.6K
Strategic Screening and Characterization of the Visual GPCR-mini-G Protein Signaling Complex for Successful Crystallization
09:19

Strategic Screening and Characterization of the Visual GPCR-mini-G Protein Signaling Complex for Successful Crystallization

Published on: March 16, 2020

7.0K

相关实验视频

Last Updated: Jul 5, 2025

Visualizing the Conformational Dynamics of Membrane Receptors Using Single-Molecule FRET
10:59

Visualizing the Conformational Dynamics of Membrane Receptors Using Single-Molecule FRET

Published on: August 17, 2022

3.2K
G Protein-selective GPCR Conformations Measured Using FRET Sensors in a Live Cell Suspension Fluorometer Assay
09:12

G Protein-selective GPCR Conformations Measured Using FRET Sensors in a Live Cell Suspension Fluorometer Assay

Published on: September 10, 2016

9.6K
Strategic Screening and Characterization of the Visual GPCR-mini-G Protein Signaling Complex for Successful Crystallization
09:19

Strategic Screening and Characterization of the Visual GPCR-mini-G Protein Signaling Complex for Successful Crystallization

Published on: March 16, 2020

7.0K

科学领域:

  • 生物化学 生物化学
  • 结构生物学 结构生物学
  • 计算生物学 计算生物学

背景情况:

  • G蛋白结合受体 (GPCRs) 对于细胞信号传导至关重要.
  • GPCRs是制药开发的关键目标.
  • 了解GPCR的结构状态对于药物发现至关重要.

研究的目的:

  • 开发一种机器学习方法,用于注释GPCR的 conformational 状态.
  • 区分非活性类型和活性类型的GPCR结构.

主要方法:

  • 使用高维特征向量表示GPCR形态.
  • 包含与激活通路相关的氨基酸残留对信息.
  • 在GPCRs的分子动力学模拟数据上训练机器学习模型.

主要成果:

  • 成功训练机器学习模型来区分GPCR的合规状态.
  • 该模型为GPCR活动提供了可解释的预测.
  • 该方法可以对GPCR分子动力学轨迹进行大规模分析.

结论:

  • 机器学习为GPCR结构分析提供了一个强大的工具.
  • 对GPCR状态的准确注释可以加速基于结构的药物发现.
  • 这种方法有助于更深入地了解GPCR信号机制.