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

18.5K
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...
18.5K
Sanger Sequencing01:57

Sanger Sequencing

754.7K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
754.7K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.0K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.0K
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

5.4K
Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
5.4K
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.1K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.1K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K

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 Hydroxyapatites Reprogram Phyllosphere Microbiomes and Disease Resistance-Related Phytohormone Biosynthesis in <i>Magnaporthe Oryzae</i>-Infected Rice.

Journal of agricultural and food chemistry·2026
Same author

Arginine metabolism and the NF-ĸB pathway jointly regulate the airway inflammation in asthma mediated by ILC2s.

International immunopharmacology·2026
Same author

Revealing shared gene signatures and HIF-1α pathway in allergic rhinitis and asthma: a bioinformatics and experimental study.

The Journal of asthma : official journal of the Association for the Care of Asthma·2026
Same author

A dual-asymmetric hemostatic Janus hydrogel patch inhibits postoperative recurrence and metastasis of triple-negative breast cancer by suppressing COX-2/PGE<sub>2</sub> axis.

Biomaterials·2026
Same author

Unlocking the acquired ultraviolet-resistance and enhanced antioxidant potential of pterostilbene-loaded pharmaceutical-dots.

International journal of pharmaceutics: X·2026
Same author

The Circadian Rhythm of Asthma Immune Metabolism.

Journal of immunology research·2026
Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026
Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026
Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026
Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026
Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026
Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026
查看所有相关文章

相关实验视频

Updated: Jul 17, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.0K

一种基于氨基酸序列的规范差分序列特征编码方法.

Xiaoman Zhao1,2, Xue Wang1, Zhou Jin1

  • 1Institute of Intelligent Machinery, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.

Mathematical biosciences and engineering : MBE
|September 7, 2023
PubMed
概括
此摘要是机器生成的。

一种新的编码方法,即规范差异序列特征 (NDSF),改善了人类蛋白质相互作用的预测. 将NDSF与主要组件分析 (PCA) 和XGBoost相结合,实现了99.2%的准确性,优于其他方法.

关键词:
氨基酸序列中的氨基酸序列.减小维度的方法 减小维度的方法综合学习学习 综合学习蛋白质相互作用 蛋白质相互作用序列特征提取 序列特征提取

更多相关视频

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.4K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.9K

相关实验视频

Last Updated: Jul 17, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.0K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.4K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.9K

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 蛋白质相互作用是细胞过程的基础,如细胞亡和免疫反应.
  • 准确预测蛋白相互作用对于理解细胞功能和疾病机制至关重要.

研究的目的:

  • 开发和评估一种优化的编码方法,用于预测人类蛋白相互作用.
  • 为了比较使用不同维度减小技术的集合学习方法的性能.

主要方法:

  • 使用氨基酸序列的位置和相关性特征开发了一种新的编码方法,即规范差异序列特征 (NDSF).
  • 主要组件分析 (PCA) 和局部线性嵌入 (LLE) 用于减少NDSF编码的蛋白质序列的维度.
  • 四个集合学习算法 (AdaBoost,额外树,LightGBM,XGBoost) 被评估了分类性能.

主要成果:

  • 与MOS方法相比,NDSF编码方法的准确性更高,损失和编码时间更短.
  • 线性维度缩减 (PCA) 的分类准确度明显高于非线性缩减 (LLE).
  • 使用PCA减少的NDSF特征的XGBoost分类器实现了99.2%的峰值精度.

结论:

  • 与PCA和XGBoost相结合的NDSF为分类人类蛋白相互作用提供了一个非常有效的策略.
  • 这种方法为生物信息学中的蛋白质相互作用预测提供了更高的准确性和效率.
  • 这些发现凸显了机器学习中特征编码和维度减小对于生物数据分析的重要性.