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

From DNA to Protein03:06

From DNA to Protein

19.1K
The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
19.1K
Leaky Scanning02:28

Leaky Scanning

5.2K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.2K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.4K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.4K
Prokaryotic Gene Structure and Organization01:28

Prokaryotic Gene Structure and Organization

600
Prokaryotic genomes exhibit a streamlined organization of coding and non-coding regions essential for gene expression and protein synthesis. While coding regions contain the genetic instructions for proteins or functional RNAs, non-coding regions regulate the precise transcription and translation of these genes.Coding Regions: Proteins and RNAsThe primary coding regions, known as structural genes, include sequences transcribed into messenger RNA (mRNA) and ultimately translated into...
600
The Central Dogma01:25

The Central Dogma

128.5K
Overview
128.5K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.5K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
11.5K

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

Conserved enhancer association of piRNAs and the implication in germ cell fate surveillance.

Genome biology·2026
Same author

LinearCDSfold: a tool for co-optimizing secondary structure stability and codon usage in coding sequence design.

Bioinformatics advances·2026
Same author

An Integer Linear Programming Approach for Scaffolding Based on Exemplar Breakpoint Distance.

Journal of computational biology : a journal of computational molecular cell biology·2022
Same author

Multi-CSAR: a web server for scaffolding contigs using multiple reference genomes.

Nucleic acids research·2022
Same author

Clover: a clustering-oriented de novo assembler for Illumina sequences.

BMC bioinformatics·2020
Same author

Multi-CSAR: a multiple reference-based contig scaffolder using algebraic rearrangements.

BMC systems biology·2019
Same journal

A Multi-Modal Framework for Phage-Host Interaction Prediction Using Multi-View Contrastive Learning.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Decoding Gene-Disease Associations with Computational Methods: A Survey.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

A Competitive Coevolution-based Cancer Driver Pathway Identification Algorithm for Maximizing Coverage, Mutual Exclusivity, and Subnet Importance.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Prediction of GO Terms Based on Partitioning PPI Networks into Highly Connected Components.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Modeling and Tracking of Heterogeneous Cell Populations via Open Multi-Agent Systems.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Parameter Efficient Deep Learning Models for Multi-Target Binding Affinity and hERG Cardiotoxicity Prediction.

IEEE transactions on computational biology and bioinformatics·2026
查看所有相关文章

相关实验视频

Updated: Sep 11, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

一个更有效的动态编程算法来设计编码序列,通过共同优化其结构稳定性和Codon使用情况来设计.

Yan-Ru Ju, Long-Shang Cho, Chin Lung Lu

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括
    此摘要是机器生成的。

    我们开发了LinearCDSfold,这是一种用于设计编码序列 (CDS) 的新型动态编程算法,可以优化二级结构稳定性和编码子适应指数. 这种方法提供了准确和高效的CDS设计,在速度方面超过现有工具.

    更多相关视频

    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

    7.4K
    Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
    10:41

    Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

    Published on: June 24, 2019

    8.5K

    相关实验视频

    Last Updated: Sep 11, 2025

    Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
    10:58

    Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

    Published on: July 25, 2013

    17.1K
    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

    7.4K
    Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
    10:41

    Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

    Published on: June 24, 2019

    8.5K

    科学领域:

    • 计算生物学 计算生物学
    • 生物信息学是一种生物信息学.
    • 合成生物学 合成生物学

    背景情况:

    • 现有的动态编程算法,如CDSfold,专注于最小化编码序列 (CDS) 设计的最小自由能量 (MFE).
    • 修改这些算法以共同优化二级结构稳定性和子适应指数 (CAI) 是一个挑战.

    研究的目的:

    • 修改CDSfold动态编程算法,以共同优化CDS二级结构稳定性和CAI.
    • 为高质量的CDS设计开发一个高效的计算工具.

    主要方法:

    • 修改了一种动态编程算法,以精确地在O(L^3) 时间和O(L^2) 空间中解决联合CDS设计问题.
    • 加快了使用光束搜索在O (L) 时间内获得近似CDS设计的算法,实现为LinearCDSfold.
    • 与最先进的工具LinearDesign和DERNA相比,对比了LinearCDSfold的性能.

    主要成果:

    • 在使用精确搜索时,LinearCDSfold在MFE和CAI方面实现了与LinearDesign和DERNA相似的准确性.
    • 尽管理论上的复杂性相似,但LinearCDSfold的运行时间比DERNA要快得多.
    • 在LinearCDSfold中进行光束搜索,可以快速设计高质量的近似CDS,并具有出色的MFE和CAI.

    结论:

    • 修改后的DP算法成功地解决了共同优化CDS二级结构稳定性和CAI的挑战.
    • 线性CDSfold为CDS设计提供了一个准确而高效的工具,具有快速近似设计选项.
    • 这项工作推进了合成生物学和基因工程的计算方法.