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

Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.0K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.0K

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

Optimizing risk cutoffs in joint endoscopic screening for upper gastrointestinal cancers: a data-driven approach from models to real-world practice.

Surgical endoscopy·2026
Same author

Molecular glue degraders of HuR suppress BRAF-mutant colorectal cancer.

Nature·2026
Same author

γH2AX and p53 Immunohistochemistry predict the incidence risk of esophageal squamous precancerous lesions.

BMC medicine·2026
Same author

Lipid-dominated metabolites mediate the association between low body mass index and esophageal malignancy: a population-based nested case-control study.

BMC cancer·2026
Same author

The genetic landscape of antibiotic sensitivity in <i>Staphylococcus aureus</i>.

Science advances·2026
Same author

PSMa: Learning Protein Surface Representations with Physicochemical Masked Autoencoders.

Journal of chemical information and modeling·2026
Same journal

STED: flexible cross-modal topic modeling infers cell-type-specific regulatory landscapes from bulk epigenomics.

Briefings in bioinformatics·2026
Same journal

A knowledge-guided deep learning framework for quantitative nucleic acid testing.

Briefings in bioinformatics·2026
Same journal

Optimal transport for label transfer in single-cell multi-omics integration.

Briefings in bioinformatics·2026
Same journal

Continuous multi-omics pathway enrichment analysis resolves hidden functional heterogeneity.

Briefings in bioinformatics·2026
Same journal

Evaluating completeness, coherence, and consistency of genome-scale function annotations.

Briefings in bioinformatics·2026
Same journal

Transformers for single-cell RNA sequencing: a survey.

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

相关实验视频

Updated: Jun 18, 2025

Identification of Functional Protein Regions Through Chimeric Protein Construction
11:39

Identification of Functional Protein Regions Through Chimeric Protein Construction

Published on: January 8, 2019

10.4K

DiffPROTACs是一款基于深度学习的生成器,用于化,准仿真体.

Fenglei Li1,2, Qiaoyu Hu3, Yongqi Zhou1,4

  • 1Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New Area, Shanghai 201210, China.

Briefings in bioinformatics
|August 5, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了DiffPROTACs,这是一个新的AI扩散模型,使用变压器和图形神经网络来设计PROTAC链接器. 这种工具可以生成具有高有效性的新型PROTAC,从而推进基于片段的药物设计.

关键词:
在PROTAC数据库中,我们可以找到PROTAC数据库.这就是 PROTACs.德诺沃药物设计深度学习是一种深度学习.链接器生成 链接器生成

更多相关视频

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion
07:37

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

Published on: June 25, 2017

11.6K
High-Throughput Cellular Profiling of Targeted Protein Degradation Compounds Using HiBiT CRISPR Cell Lines
05:33

High-Throughput Cellular Profiling of Targeted Protein Degradation Compounds Using HiBiT CRISPR Cell Lines

Published on: November 9, 2020

9.5K

相关实验视频

Last Updated: Jun 18, 2025

Identification of Functional Protein Regions Through Chimeric Protein Construction
11:39

Identification of Functional Protein Regions Through Chimeric Protein Construction

Published on: January 8, 2019

10.4K
CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion
07:37

CAPRRESI: Chimera Assembly by Plasmid Recovery and Restriction Enzyme Site Insertion

Published on: June 25, 2017

11.6K
High-Throughput Cellular Profiling of Targeted Protein Degradation Compounds Using HiBiT CRISPR Cell Lines
05:33

High-Throughput Cellular Profiling of Targeted Protein Degradation Compounds Using HiBiT CRISPR Cell Lines

Published on: November 9, 2020

9.5K

科学领域:

  • 生物技术和药物发现
  • 化学中的人工智能.
  • 分子建模分子建模

背景情况:

  • 蛋白质溶解向金马 (PROTACs) 提供了一种新的治疗方式,但合理的链接器设计具有挑战性.
  • 基于碎片的药物设计 (FBDD) 是PROTAC开发的一个可行的方法.
  • 人工智能,特别是扩散模型和变压器,对分子生成有很大的前景.

研究的目的:

  • 引入DiffPROTACs,这是一个用于生成PROTAC链接器的新型扩散模型.
  • 利用变压器和图形神经网络进行增强的分子生成.
  • 为 PROTAC 的研发提供一个有价值的资源.

主要方法:

  • 开发了DiffPROTACs,这是一个集成变压器和O(3) 等价图形神经网络的扩散模型.
  • 用于节点更新的变压器和用于精制原子坐标的GNN.
  • 在传统的FBDD数据集 (ZINC,GEOM) 和定制的PROTACs数据集上训练并验证了模型.

主要成果:

  • DiffPROTACs在FBDD数据集上展示了与现有模型相比具有竞争力的性能.
  • 在对特定的PROTAC数据集进行微调后,生成的PROTAC的有效率高达93.86%.
  • 创建了一个全面的新型 PROTAC 数据库,用于未来的研究.

结论:

  • DiffPROTACs代表了人工智能驱动的PROTAC链接器设计的重大进步.
  • 该模型能够以高准确度生成有效的PROTAC,这有助于药物发现.
  • 提供的数据库和代码允许进一步探索和应用这项技术.