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

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.
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Newman Projections02:06

Newman Projections

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 conformers.
Fischer Projections02:18

Fischer Projections

Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
pV-Diagrams01:18

pV-Diagrams

The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...

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

Nanoscale organization and dynamics of the siglec CD22 cooperate with the cytoskeleton in restraining BCR signalling.

The EMBO journal·2015
Same author

Tension-driven axon assembly: a possible mechanism.

Frontiers in cellular neuroscience·2015
Same author

The Normative Orientations of Climate Scientists.

Science and engineering ethics·2014
Same author

Limits of computational biology.

In silico biology·2014
Same author

Intrinsic activity in cells and the brain.

Molecular biology of the cell·2014
Same author

The propagation of allosteric states in large multiprotein complexes.

Journal of molecular biology·2013

相关实验视频

Updated: Jul 9, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

分子网络:自上而下的视图

Dennis Bray1

  • 1Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.

Science (New York, N.Y.)
|September 27, 2003
PubMed
概括

网络理论为生物系统提供了广泛的观点. 然而,详细的信息对于准确,可测试的系统行为预测至关重要.

科学领域:

  • 系统生物学 系统生物学
  • 网络科学 网络科学
  • 计算生物学是一种计算生物学.

背景情况:

  • 生物系统是复杂且相互关联的.
  • 网络理论为理解这些连接提供了一个框架.
  • 高级网络视图可能缺乏精确预测的细粒度.

研究的目的:

  • 突出生物学中纯粹基于网络的方法的局限性.
  • 强调需要详细的机械信息来进行预测建模.
  • 为了弥合抽象的网络表示和具体的生物功能之间的差距.

主要方法:

  • 对网络理论在系统生物学中的应用进行审查.
  • 分析详细数据改善生物预测的案例研究.
  • 为整合网络和机械信息而开发概念框架.

主要成果:

  • 网络概述对于最初的系统理解有价值.
  • 详细的分子和细胞数据对于生成可测试的假设至关重要.
  • 整合网络拓与机械细节可以提高预测能力.

结论:

更多相关视频

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

相关实验视频

Last Updated: Jul 9, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

  • 虽然网络理论是一个强大的工具,但仅靠它就不足以进行详细的生物预测.
  • 未来的进步需要将网络方法与深入的机械数据集成在一起.
  • 对生物系统的全面理解需要广泛的网络视角和特定的机械洞察力.