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相关概念视频

Conserved Binding Sites01:49

Conserved Binding Sites

5.0K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
5.0K
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.4K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
14.4K
Ligand Binding Sites02:40

Ligand Binding Sites

14.9K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
14.9K
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
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
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...
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相关实验视频

Updated: Jan 14, 2026

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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一个基于集体的模型,包括深度学习,用于预测蛋白质中的结残留物.

Abel Chandra1, Iman Dehzangi2,3, Tatsuhiko Tsunoda4,5

  • 1School of Information and Communication Technology, Griffith University, 170 Kessels Rd, 4111 Brisbane, Australia.

NAR genomics and bioinformatics
|October 24, 2025
PubMed
概括

我们开发了PepENS,这是一个先进的计算模型,用于预测蛋白质-相互作用. 这种工具提高了理解细胞过程的准确性,并通过分析蛋白质序列来帮助药物发现.

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Peptide-based Identification of Functional Motifs and their Binding Partners
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Peptide-based Identification of Functional Motifs and their Binding Partners

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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

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相关实验视频

Last Updated: Jan 14, 2026

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

Published on: January 26, 2024

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Peptide-based Identification of Functional Motifs and their Binding Partners
14:28

Peptide-based Identification of Functional Motifs and their Binding Partners

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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.
  • 药物发现 药物发现 药物发现

背景情况:

  • 蛋白质-相互作用对细胞功能至关重要,并与癌症等疾病有关.
  • 研究这些相互作用的实验方法昂贵且耗时.
  • 现有的计算方法往往缺乏足够的预测准确性.

研究的目的:

  • 开发一个高度准确的计算模型来预测蛋白质-相互作用.
  • 整合结构和基于序列的特征,以改善预测.
  • 为功能基因组学和药物发现提供一个有价值的工具.

主要方法:

  • 开发了PepENS,这是一个组合模型,结合了深度学习和传统机器学习.
  • 集成功能,如半球曝光和位置特定的评分矩阵.
  • 从预先训练的蛋白质语言模型中利用嵌入来进行序列分析.

主要成果:

  • 在测试数据集中,PepENS实现了高性能,AUC得分为0.860 (数据集1) 和0.846 (数据集2).
  • 与最先进的方法相比,证明了更高的精度和AUC.
  • 在数据集1上达到0.596的精度,在数据集2上达到0.539的精度.

结论:

  • 在预测蛋白质-相互作用方面,PepENS提供了显著的进步.
  • 该模型的准确性支持其在功能基因组学和加速药物发现中的实用性.
  • 该PepENS软件和数据集是公开可用于研究使用.