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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
Peptide Bonds02:43

Peptide Bonds

82.0K
A peptide bond covalently attaches amino acids through a dehydration reaction. One amino acid's carboxyl group and another amino acid's amino group combine, releasing a water molecule. The resulting bond is the peptide bond. The products that such linkages form are peptides. As more amino acids join this growing chain, the resulting chain is a polypeptide. Each polypeptide has a free amino group at one end. This end has the N-terminal, or the amino-terminal, and the other end has a free...
82.0K
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

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An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
431
Protein and Protein Structures02:15

Protein and Protein Structures

18.6K
18.6K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

2.9K
Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
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相关实验视频

Updated: Jan 15, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

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佩普哈莫尼:一个多视图对比学习框架,用于集成的序列和基于结构的体表示.

Ruochi Zhang1, Haoran Wu2, Chang Liu3

  • 1Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin, 130012, China; Syneron Technology, Guangzhou, 510700, China.

Neural networks : the official journal of the International Neural Network Society
|October 7, 2025
PubMed
概括
此摘要是机器生成的。

一个新的框架PepHarmony通过整合序列和结构数据来改善序列表示. 这一进步有助于类药物发现和工程,通过更好地了解复杂的特性.

关键词:
生物信息学是一种生物信息学.相反的学习学习.多视图学习多视图学习酸序列表示表示表.基于序列编码的编码

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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相关实验视频

Last Updated: Jan 15, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 结构生物学 结构生物学

背景情况:

  • 蛋白质语言模型具有先进的序列表示.
  • 由于捕获复杂的结构的挑战,缺乏针对的预训练模型.

研究的目的:

  • 介绍PepHarmony,一种用于体表示的多视图对比学习框架.
  • 整合序列和结构信息,以增强序编码.

主要方法:

  • 开发了一个多视角对比学习框架 (PepHarmony).
  • 使用了来自蛋白质数据库和AlphaFold DB的数据集.
  • 通过对比学习结合序列和结构级信息.

主要成果:

  • 与基线和微调模型相比,PepHarmony在捕捉序结构关系方面表现出卓越的能力.
  • 废弃性研究证实了模型的稳定性,并强调了对比损失和数据排序的重要性.

结论:

  • 佩普哈莫尼为体表示学习提供了重要的贡献.
  • 该模型和培训策略为类药物发现和工程提供了宝贵的见解.