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

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

8.1K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
8.1K
Protein Organization01:24

Protein Organization

9.1K
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
9.1K

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

Decoding disease and therapy through multiomics integration and systems analysis.

Briefings in bioinformatics·2026
Same author

Impaired Brain Growth in Children Perinatally Infected With Chikungunya.

Pediatric neurology·2026
Same author

Immunogenetic Variants in Major Mental and Neurodevelopmental Disorders.

Biological psychiatry·2026
Same author

The 12 o'clock assay: an optimized dodecaplex droplet digital PCR assay for robust DNA methylation quantification and epigenetic clock-based age-predictions.

Clinical epigenetics·2026
Same author

HaploExplore, a software specifically designed for the detection of minor allele (MiA-) haploblocks.

NAR genomics and bioinformatics·2025
Same author

Safety and immunogenicity of PPV-06, an active anti-IL-6 immunotherapy targeting low-grade inflammation against knee osteoarthritis: a randomized, double-blind, placebo-controlled, clinical phase 1 study.

Nature communications·2025

相关实验视频

Updated: Jan 16, 2026

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

2.5K

对基于深度学习的算法进行结构预测的比较分析.

Clément Sauvestre1,2, Jean-François Zagury1, Florent Langenfeld1,2

  • 1Laboratoire GBCM, EA7528, Conservatoire National des Arts et métiers (CNAM), HESAM Université, Paris, France.

Proteins
|October 6, 2025
PubMed
概括

像AlphaFold2这样的深度学习模型对体3D结构预测有希望,但性能落后于蛋白质. 特定的结构特征阻碍了准确性,需要谨慎使用预测的结构.

科学领域:

  • 计算生物学 计算生物学
  • 结构生物学 结构生物学
  • 生物化学 生物化学

背景情况:

  • 在生物医学和治疗应用中至关重要,但准确的3D结构预测工具是有限的.
  • 了解质结构对于药物设计和理解生理功能至关重要.
  • 深度学习已经彻底改变了蛋白质3D结构预测,实现了接近实验的准确性.

研究的目的:

  • 评估先进的深度学习方法 (AlphaFold2,RoseTTAFold2,ESMFold) 的性能,以进行体3D结构预测.
  • 为了比较这些方法在质结构预测与蛋白质结构预测中的准确性.
  • 确定影响预测结构质量的结构特征.

主要方法:

  • 使用AlphaFold2,RoseTTAFold2和ESMFold进行体3D结构预测.
  • 评估预测结构的质量.
  • 分析了影响预测准确性的结构特征.

主要成果:

  • 所有评估的深度学习方法都产生了高质量的结构.
  • 结构预测的准确性通常低于蛋白质的准确性.
  • 特定的结构特征被确定为高质量的结构预测的局限性.
关键词:
一个字母组的alphafold.深度学习是一种深度学习.这是一种类.预测 预测 预测 预测这是一个三维结构结构.

更多相关视频

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

17.6K
Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

943

相关实验视频

Last Updated: Jan 16, 2026

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

2.5K
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

17.6K
Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

943

结论:

  • 当前的深度学习方法显示出潜力,但与蛋白质相比,的3D结构预测存在局限性.
  • 蛋白质和质结构预测能力之间存在差异.
  • 由于已识别的局限性,预测的结构应谨慎解释.