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

Enzyme-linked Receptors01:00

Enzyme-linked Receptors

Enzyme-linked receptors are proteins that act as both receptor and enzyme, activating multiple intracellular signals. This is a large group of receptors that include the receptor tyrosine kinase (RTK) family. Many growth factors and hormones bind to and activate the RTKs.
Neurotrophin (NT) receptors are a family of RTKs, including trkA, trkB, and trkC (tropomyosin-related kinase) receptors. TrkA is specific for nerve growth factor (NGF), neurotrophin-6, and neurotrophin-7. TrkB binds...
What is Genetic Engineering?00:49

What is Genetic Engineering?

Overview
Transducer Mechanism: Enzyme-Linked Receptors01:27

Transducer Mechanism: Enzyme-Linked Receptors

Enzyme-linked receptors are cell-surface receptors acting as an enzyme or associating with an enzyme intracellularly. They make excellent drug targets. Drugs can bind to the extracellular ligand-binding domain or directly affect their enzymatic domain and alter their activity.
Major types that are helpful drug targets include:
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

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

Laser Deflection Acoustic Field Quantification: A Non-Invasive Measurement Technique for Focused Ultrasound Field Characterization.

Bioengineering (Basel, Switzerland)·2026
Same author

Identification of Immune&Driver Molecular Subtypes Optimizes Immunotherapy Strategies for Gastric Cancer.

International journal of molecular sciences·2026
Same author

Identification and characterization of MARCO-expressing tumor-associated macrophages in pancreatic ductal adenocarcinoma with pan-cancer relevance.

NPJ precision oncology·2026
Same author

Enterococcus faecalis enhances growth and immunity in geese by modulating the jejunal microbiota and intestinal barrier.

Poultry science·2026
Same author

Rutin alleviates pirarubicin-induced cardiotoxicity and enhances chemosensitivity in breast cancer.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

Effects of Aircraft Noise on Pilots' Auditory Perception.

Noise & health·2026
Same journal

PFASGroups: An Open-Source Framework for Automated Identification, Structural Classification, and Prioritization of Per- and Polyfluoroalkyl Substances.

Journal of chemical information and modeling·2026
Same journal

DeepKbhb: Context-Aware Prediction of Human Lysine β-Hydroxybutyrylation Sites.

Journal of chemical information and modeling·2026
Same journal

HyperDC: A Non-Uniform Hypergraph Framework for Dual- and Higher-Order Drug Combination Recommendation Across Diverse Complex Diseases.

Journal of chemical information and modeling·2026
Same journal

Correction to "AstraMEV (AI-Guided Structural Assembly of Multi-Epitope Vaccines) Against Infectious Bronchitis Virus".

Journal of chemical information and modeling·2026
Same journal

MolPy: A Large Language Model-Friendly Toolkit for Reactive Topology Editing in Polymer Simulations.

Journal of chemical information and modeling·2026
Same journal

Molecular Mechanisms of KIT Receptor Dimerization and Oncogenic Activation Revealed by Multiscale Simulations.

Journal of chemical information and modeling·2026
查看所有相关文章

相关实验视频

Updated: Jun 28, 2026

An Engineered Split-TET2 Enzyme for Chemical-inducible DNA Hydroxymethylation and Epigenetic Remodeling
08:34

An Engineered Split-TET2 Enzyme for Chemical-inducible DNA Hydroxymethylation and Epigenetic Remodeling

Published on: December 18, 2017

6.6K

EC2Vec:一种机器学习方法,将酶委员会 (EC) 数字嵌入向量表示中.

Mengmeng Liu1, Xialong Ni2, J Ramanujam1,3

  • 1Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States.

Journal of chemical information and modeling
|February 21, 2025
PubMed
概括
此摘要是机器生成的。

EC2Vec是一种新的方法,通过编码酶委员会 (EC) 数字来改善酶分类. 这种方法捕捉了层次化的酶关系,以便在生物信息学中更好地进行机器学习.

更多相关视频

Author Spotlight: Advancements in DNA Nanosensors – Addressing Sensitivity and Selectivity Challenges in Molecular Detection
07:16

Author Spotlight: Advancements in DNA Nanosensors – Addressing Sensitivity and Selectivity Challenges in Molecular Detection

Published on: February 9, 2024

864
Protein Engineering by Yeast Surface Display
05:49

Protein Engineering by Yeast Surface Display

Published on: November 29, 2024

985

相关实验视频

Last Updated: Jun 28, 2026

An Engineered Split-TET2 Enzyme for Chemical-inducible DNA Hydroxymethylation and Epigenetic Remodeling
08:34

An Engineered Split-TET2 Enzyme for Chemical-inducible DNA Hydroxymethylation and Epigenetic Remodeling

Published on: December 18, 2017

6.6K
Author Spotlight: Advancements in DNA Nanosensors – Addressing Sensitivity and Selectivity Challenges in Molecular Detection
07:16

Author Spotlight: Advancements in DNA Nanosensors – Addressing Sensitivity and Selectivity Challenges in Molecular Detection

Published on: February 9, 2024

864
Protein Engineering by Yeast Surface Display
05:49

Protein Engineering by Yeast Surface Display

Published on: November 29, 2024

985

科学领域:

  • 生物信息学是一种生物信息学.
  • 酶学 是一种酶学.
  • 机器学习 机器学习

背景情况:

  • 酶委员会 (EC) 编号对于酶分类和功能理解至关重要.
  • 目前用于机器学习的EC编码方法面临着错误的数值排序和高数据稀疏性等挑战.
  • 有效的编码对于推进与酶相关的计算研究至关重要.

研究的目的:

  • 为酶委员会 (EC) 数量开发一种先进的编码方法,克服当前方法的局限性.
  • 通过保持分类性质和层次结构来创建信息和有意义的酶表示.
  • 提高机器学习模型在酶相关研究中的性能.

主要方法:

  • 开发了EC2Vec,这是一个用于编码EC号码的多式自动编码器.
  • 将EC号码的每个数字视为一个分类令牌.
  • 使用1D卷积层来处理嵌入和捕获关系.
  • 与现有的简单编码方法对比EC2Vec,使用大型EC数字数据集.

主要成果:

  • EC2Vec有效地保留了EC数字的分类性质和层次结构.
  • t-SNE可视化显示了不同类型的酶不同的集群,证实了分层捕获.
  • 在反应-EC对分类中,EC2Vec嵌入显示出比其他方法更好的性能.
  • 基准测试证实了EC2Vec在简单编码技术上的优势.

结论:

  • EC2Vec提供了EC数字的强大和有信息的表示,利用它们固有的层次结构.
  • 该方法显著改善下游机器学习任务,例如酶分类.
  • EC2Vec为酶研究和生物信息学应用提供了一个有价值的工具.