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

Molecular Models02:00

Molecular Models

43.3K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
43.3K
Molecular Shapes01:18

Molecular Shapes

61.1K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
61.1K
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

62.9K
Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
62.9K
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

19.2K
19.2K
Molecular Comparison of Gases, Liquids, and Solids02:26

Molecular Comparison of Gases, Liquids, and Solids

53.0K
Particles in a solid are tightly packed together (fixed shape) and often arranged in a regular pattern; in a liquid, they are close together with no regular arrangement (no fixed shape); in a gas, they are far apart with no regular arrangement (no fixed shape). Particles in a solid vibrate about fixed positions (cannot flow) and do not generally move in relation to one another; in a liquid, they move past each other (can flow) but remain in essentially constant contact; in a gas, they move...
53.0K
Cryo-electron Microscopy01:28

Cryo-electron Microscopy

4.1K
Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
4.1K

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

BioMatics 1.0: A Wasserstein Distance Approach for Next-Generation Multiple Sequence Alignment.

Proteins·2026
Same author

How do AI ensemble pipelines treat disorder? A head-to-head comparison on α-synuclein.

Journal of biomolecular structure & dynamics·2026
Same author

Implicit Solvent Models and Their Applications in Biophysics.

Biomolecules·2025
Same author

Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins.

Biophysical reviews·2025
Same author

Effects of pathological mutations on the CHCHD2 monomer structure: A study by AlphaFold3 linked to the generation of conformational ensembles.

Computers in biology and medicine·2025
Same author

Impacts of pathogenic mutations on the structures of the CHCHD10 monomer: An AlphaFold3 study linked to the generation of conformational ensembles.

International journal of biological macromolecules·2025

相关实验视频

Updated: Jan 6, 2026

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes
10:43

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Published on: July 19, 2022

2.8K

通过计算方法进行分子拥挤.

Orkid Coskuner-Weber1, Mert Koca2, Vladimir N Uversky3

  • 1Molecular Biotechnology, Turkish-German University, Istanbul, Turkey. weber@tau.edu.tr.

Sub-cellular biochemistry
|September 26, 2025
PubMed
概括

分子拥挤显著影响细胞中的生物分子行为. 计算方法对于研究这些效应和推动治疗开发至关重要.

关键词:
布朗的动力学模拟.粗粒度模型的粗粒度模型有限元素分析的研究.基于格子的模型.机器学习是机器学习.分子动力学 (MD) 模拟蒙特卡罗模拟的蒙特卡罗模拟多尺度建模多尺度建模量子计算是一种量子计算.模拟混合方法的混合方法.

更多相关视频

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.6K
Improving 2D and 3D Skin In Vitro Models Using Macromolecular Crowding
09:14

Improving 2D and 3D Skin In Vitro Models Using Macromolecular Crowding

Published on: August 22, 2016

12.9K

相关实验视频

Last Updated: Jan 6, 2026

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes
10:43

Single-Molecule Diffusion and Assembly on Polymer-Crowded Lipid Membranes

Published on: July 19, 2022

2.8K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.6K
Improving 2D and 3D Skin In Vitro Models Using Macromolecular Crowding
09:14

Improving 2D and 3D Skin In Vitro Models Using Macromolecular Crowding

Published on: August 22, 2016

12.9K

科学领域:

  • 生物物理学的生物物理.
  • 计算生物学 计算生物学
  • 生物化学 生物化学

背景情况:

  • 分子拥挤,细胞内巨分子的高度,深刻影响生物分子结构,行为和功能.
  • 了解这些影响对于理解细胞过程和开发新疗法至关重要.

研究的目的:

  • 提供对分子拥挤对生物和药物系统的影响的全面概述.
  • 突出研究分子拥挤的实验挑战,并强调计算方法的必要性.

主要方法:

  • 详细讨论各种计算技术,包括分子动力学,蒙特卡洛,布朗动力学,格子模型,有限元分析,粗粒度建模,QM/MM和多尺度建模.
  • 探索混合方法,将量子计算,机器学习和经典模拟结合起来,用于未来的研究.

主要成果:

  • 计算技术为人群拥挤的分子水平影响提供了独特的见解,克服了实验的局限性.
  • 这些方法提高了对药物发现和生物功能至关重要的生物物理过程的理解.

结论:

  • 计算建模对于准确研究分子拥挤效应是不可或缺的.
  • 未来的研究方向包括集成先进的计算策略,以深入了解细胞环境和治疗开发.