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

Synthetic Biology02:55

Synthetic Biology

5.5K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.5K
Characteristics of Life01:23

Characteristics of Life

253.8K
Biology is a natural science that studies life and living organisms, including their structure, function, development, interactions, evolution, distribution, and taxonomy. The field's scope is extensive and divided into several specialized disciplines, such as anatomy, physiology, ethology, genetics, and many more. All living things share a few key traits, including cellular organization, heritable genetic material and the ability to adapt/evolve, metabolism to regulate energy needs, the...
253.8K
Hybridoma Technology01:31

Hybridoma Technology

17.1K
Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...
17.1K
The Central Dogma01:20

The Central Dogma

31.6K
The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...
31.6K
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.3K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.3K
What is Genetic Engineering?00:49

What is Genetic Engineering?

79.5K
Overview
79.5K

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

Predicting diarrhoea outbreaks with climate change.

PloS one·2022
Same author

Emergence of cooperation: state of the art.

Artificial life·2005
Same journal

RNApedia: a database of structural protein-RNA interactions.

Frontiers in bioinformatics·2026
Same journal

Hydrogen sulfide modulates gene networks in hypoxia/reoxygenation-stressed trophoblasts: insights from transcriptome profiling.

Frontiers in bioinformatics·2026
Same journal

Molecular Dynamics-Based validation of a quinazoline-based KRAS inhibitor (C9) identified through QSAR-guided discovery.

Frontiers in bioinformatics·2026
Same journal

Real-world chronic recordings from implantable adaptive deep brain stimulation systems for Parkinson's disease motor state classification.

Frontiers in bioinformatics·2026
Same journal

A foundational quantum framework for multi-pattern string matching in k-mer detection.

Frontiers in bioinformatics·2026
Same journal

Explainable machine learning-based identification of transcriptomic biomarkers in CD1c+ dendritic cells for non-infectious uveitis: an integrative analysis of bulk RNA-seq data.

Frontiers in bioinformatics·2026
查看所有相关文章

相关实验视频

Updated: Jan 7, 2026

Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials
10:28

Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials

Published on: March 9, 2017

9.5K

生物工程混合的人工生命.

Innocent Sibanda1, Geoff Nitschke1

  • 1Department of Computer Science, University of Cape Town, Cape Town, South Africa.

Frontiers in bioinformatics
|January 1, 2026
PubMed
概括
此摘要是机器生成的。

合成生物学旨在设计生命,但创造适应的人工生命 (ALife) 在指导进化中面临挑战. 建议采用混合方法,将数字和生物方法结合起来,以实现演变的合成ALife.

关键词:
人工生命的人工生命指导进化是指导进化的.进化算法是指进化的算法.健身景观 健身景观合成生物学 合成生物学

更多相关视频

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
11:23

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

10.7K
Bioinspired Soft Robot with Incorporated Microelectrodes
08:24

Bioinspired Soft Robot with Incorporated Microelectrodes

Published on: February 28, 2020

9.3K

相关实验视频

Last Updated: Jan 7, 2026

Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials
10:28

Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials

Published on: March 9, 2017

9.5K
A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
11:23

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

10.7K
Bioinspired Soft Robot with Incorporated Microelectrodes
08:24

Bioinspired Soft Robot with Incorporated Microelectrodes

Published on: February 28, 2020

9.3K

科学领域:

  • 生物工程和合成生物学专注于重新设计生物系统.
  • 人工生命 (ALife) 探索生命的可能性,合成生物学使得工程生命成为可能.

背景情况:

  • 合成生物学旨在为特定应用设计生物系统.
  • 人工生命 (ALife) 研究旨在理解和设计生命系统,包括"可能存在的生命".
  • 目前的合成 (生物) 生命缺乏数字生命的适应性.

研究的目的:

  • 为了解决有针对性的进化,健身景观绘制和合成ALife的健身近似的局限性.
  • 审查对定向进化,遗传多样性,健康测绘和合成ALife估计的开放挑战.
  • 提出一种混合合成ALife设计方法.

主要方法:

  • 检查合成ALife的定向进化的开放挑战.
  • 审查遗传多样性生成,健康测绘和估计的方法.
  • 概述混合合成ALife设计方法的未来方向.

主要成果:

  • 合成生物学的重大进展还没有产生实用,进化和适应性的合成ALife.
  • 定向进化,健身景观绘制和近似的局限性阻碍了解决问题的合成AI生命的发展.
  • 数字ALife表现出持续的适应和进化,与当前的合成ALife不同.

结论:

  • 克服定向进化缺陷对于生物工程解决问题至关重要.
  • 建议采用混合设计方法,将数字和合成进化方法结合起来.
  • 这种混合方法旨在创建不断发展和适应的合成ALlife.