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

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

Quantum Feature Engineering for Electronic Profiling of Biomolecules via Density of States: Beyond Transmission Fingerprints.

Analytical chemistry·2026
Same author

Electronic Control of Emission Behavior in Atomically Precise Copper Nanoclusters.

JACS Au·2026
Same author

Role of Visual Biofeedback in COPD Patients on Structured Home-Based Pulmonary Rehabilitation Program: a Double-Blind, Parallel, Randomized Controlled Trial.

Tanaffos·2026
Same author

Unravelling the reactions between a hydride-protected Ag<sub>18</sub> nanocluster and thiol by the crystallization of intermediates.

Nanoscale·2026
Same author

Decoding d- and l-Amino Acids: Data-Driven Recognition of Enantiomers and Post-Translational Modifications via Quantum Tunneling.

The journal of physical chemistry letters·2026
Same author

Quantum-Transport Informed Machine Learning for Identifying Tobacco-Induced Regioisomeric DNA Adducts.

Analytical chemistry·2026

相关实验视频

Updated: Jun 10, 2025

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection
07:51

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection

Published on: February 1, 2022

3.2K

石墨烯电极功能化对机器学习辅助单核酸分类的影响

Mohd Rashid1, Milan Kumar Jena1, Sneha Mittal1

  • 1Department of Chemistry, Indian Institute of Technology (IIT) Indore, Indore, Madhya Pradesh, 453552, India. biswarup@iiti.ac.in.

Nanoscale
|October 11, 2024
PubMed
概括

机器学习和量子传输方法被用来改进DNA测序. 终结石墨烯纳米间隙显示了区分DNA核酸的最高灵敏度,推进了单分子测序能力.

科学领域:

  • 纳米技术 纳米技术
  • 生物物理学的生物物理.
  • 计算生物学 计算生物学

背景情况:

  • 使用量子道测序的固态纳米间隙DNA测序提供了速度和精度.
  • 实现高信号噪声比的单基分辨率仍然是一个重要的实验障碍.

研究的目的:

  • 评估和比较不同边缘和实体 (C,H,N,OH) 的功能化石墨烯纳米间隙的核酸识别性能.
  • 为了研究机器学习框架与量子传输相结合的DNA测序的有效性.

主要方法:

  • 使用机器学习 (ML) 框架,特别是随机森林分类器 (RFC),加上量子运输计算.
  • 分析了功能化石墨烯纳米间隙的传输读数,用于核酸分类.
  • 针对每个功能化纳米间隙进行了导电灵敏度和电流电压 (I-V) 分析.

主要成果:

  • 优化的RFC模型在对未标记的核酸进行分类时取得了很高的准确性 (>90%).
  • 跨纳米间距的分类准确度的微小差异表明RFC能够捕获电极-核酸合动态.
  • 原子终结的石墨烯纳米间隙 (NGN) 显示出区分DNA核酸的最高灵敏度.

结论:

更多相关视频

Graphene Enclosure of Chemically Fixed Mammalian Cells for Liquid-Phase Electron Microscopy
10:12

Graphene Enclosure of Chemically Fixed Mammalian Cells for Liquid-Phase Electron Microscopy

Published on: September 21, 2020

7.1K
Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology
09:39

Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology

Published on: March 31, 2022

3.2K

相关实验视频

Last Updated: Jun 10, 2025

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection
07:51

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection

Published on: February 1, 2022

3.2K
Graphene Enclosure of Chemically Fixed Mammalian Cells for Liquid-Phase Electron Microscopy
10:12

Graphene Enclosure of Chemically Fixed Mammalian Cells for Liquid-Phase Electron Microscopy

Published on: September 21, 2020

7.1K
Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology
09:39

Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology

Published on: March 31, 2022

3.2K
  • 该研究提供了对单分子DNA测序的边缘和实体的比较分析.
  • 量子运输与机器学习相结合,提供了一种有希望的方法来克服DNA测序分辨率和精度方面的挑战.
  • 功能化石墨烯纳米间隙显示出增强DNA核酸歧视的显著潜力.