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

Polymer Classification: Architecture01:14

Polymer Classification: Architecture

2.7K
Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
2.7K
Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

2.9K
Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
2.9K
Polymer Classification: Stereospecificity01:26

Polymer Classification: Stereospecificity

2.4K
Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
2.4K
Characteristics and Nomenclature of Homopolymers01:00

Characteristics and Nomenclature of Homopolymers

3.1K
Polymers that are made up of identical monomer units are called homopolymers. Only one repeating unit is involved in the construction of the homopolymer structure. For example, as depicted in Figure 1, polypropylene is a homopolymer constituted of propylene monomers. Here, the only repeating unit in the polymer chain is propylene.
3.1K
Polymers02:34

Polymers

35.8K
The word polymer is derived from the Greek words “poly” which means “many” and “mer” which means “parts”. Polymers are long chains of molecules composed of repeating units of smaller molecules, known as monomers. They either occur naturally, such as DNA and proteins, or can be constructed synthetically, like plastics. They have varied structural characteristics, such as linear chains, branched chains, or complex networks, that contribute to the...
35.8K
Radical Chain-Growth Polymerization: Chain Branching01:17

Radical Chain-Growth Polymerization: Chain Branching

1.9K
The skeletal structure of polymers synthesized via radical polymerization is always branched. For example, the polymerization of ethylene by radical polymerization results in a low-density grade of polyethylene with a heavily branched skeletal structure. Here, the radical site abstracts hydrogen from the growing chain, and the radical site shifts from the end (a primary carbon center) to anywhere within the growing chain (a secondary carbon center). Consequently, the part of the chain from the...
1.9K

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

Basic Science and Pathogenesis.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Helicon: Helical parameter determination and 3D reconstruction from one image.

Journal of structural biology·2025
Same author

Validation of helical symmetry parameters in the EMDB.

Acta crystallographica. Section D, Structural biology·2025
Same author

Validation of helical symmetry parameters in EMDB.

bioRxiv : the preprint server for biology·2025
Same author

Cryo-EM structures of cotton wool plaques' amyloid β and of tau filaments in dominantly inherited Alzheimer disease.

Acta neuropathologica·2024
Same author

Cryo-EM structures of amyloid-β and tau filaments in Down syndrome.

Nature structural & molecular biology·2024

相关实验视频

Updated: Jul 11, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.0K

用深度学习语言模型对螺旋型聚合物进行分类.

Daoyi Li1, Wen Jiang1

  • 1Department of Biological Sciences, Purdue University.

Journal of structural biology
|November 8, 2023
PubMed
概括

本研究介绍了用语言模型 (HLM) 进行螺旋分类,这是一种新的深度学习方法,用于从冷电磁图像中分类多态螺旋聚合物. HLM有效地分离不同类型的导线,即使有污染物和低信号,也能实现新的发现.

科学领域:

  • 结构生物学 结构生物学
  • 生物物理学的生物物理.
  • 计算生物学 计算生物学

背景情况:

  • 生物巨分子通常形成螺旋状聚合物,对细胞功能至关重要.
  • 低温电子显微镜 (cryo-EM) 对于可视化这些结构至关重要.
  • 螺旋型聚合物中的多态性和异质性对冷电磁数据分析和重建提出了重大挑战.

研究的目的:

  • 开发一种计算方法,将多态螺旋结构从冷EM数据中分离为同质子集.
  • 改进异质螺旋聚合物样品的分类.
  • 通过先进的数据分析,能够发现新的导线变体.

主要方法:

  • 利用深度学习语言模型将螺旋丝嵌入向量超空间.
  • 开发了一种聚类方法,以分组相似的光纤结构.
  • 将螺旋分类与语言模型 (HLM) 方法应用于模拟和实验冷EM数据集.

主要成果:

  • HLM有效地区分不同类型的螺旋丝,即使有大量污染物和低信号噪声比.
  • 该方法成功地从复杂的数据集中分离出同质的粒子子集.
  • 对公开数据集的分析揭示了以前未报告的丝变体,其围绕丝纤维具有额外的密度.

更多相关视频

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.1K
Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
09:22

Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives

Published on: February 7, 2017

7.9K

相关实验视频

Last Updated: Jul 11, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.0K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.1K
Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
09:22

Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives

Published on: February 7, 2017

7.9K

结论:

  • HLM提供了一种强大的计算解决方案,用于在冷EM中分析异质螺旋聚合物数据.
  • 该方法增强了解决细结构细节和识别新生物实体的能力.
  • 这种方法有可能促进生物系统中各种螺旋聚合物的研究.