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相关概念视频

Conserved Binding Sites01:49

Conserved Binding Sites

4.1K
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...
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Protein Networks02:26

Protein Networks

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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,...
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Ligand Binding Sites02:40

Ligand Binding Sites

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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...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

12.4K
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...
12.4K
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

6.3K
Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form...
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相关实验视频

Updated: May 21, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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深度ProBind:用基于变压器的深度学习模型进行蛋白质结合预测.

Salman Khan1, Sumaiya Noor2, Hamid Hussain Awan3

  • 1Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, KPK, Pakistan.

BMC bioinformatics
|March 23, 2025
PubMed
概括
此摘要是机器生成的。

通过整合序列和结构数据,Deep-ProBind准确地预测蛋白质结合. 这种新的计算模型为研究人员提供了可靠和有效的工具,推进了药理学研究.

关键词:
贝尔特·贝尔特·贝尔特是什么意思结合蛋白质的结合蛋白质.深度学习是一种深度学习.这是 PsePSSMSM.形状 形状 形状 形状变压器变压器变压器

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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.
  • 分子生物学分子生物学

背景情况:

  • 结合蛋白对细胞过程至关重要,调节DNA,RNA和相互作用.
  • 通过实验识别蛋白结合是昂贵和耗时的.
  • 由于特征集成有限,现有的基于序列的方法缺乏准确性.

研究的目的:

  • 开发Deep-ProBind,一种用于预测蛋白结合的新型计算模型.
  • 整合序列和结构信息,以提高预测准确度.
  • 为加速药物发现和药理学研究提供可靠的工具.

主要方法:

  • 利用来自变压器的双向编码器表示 (BERT) 和伪位置特定得分矩阵 - 离散波段变换 (PsePSSM -DWT) 进行编码.
  • 采用变压器和基于进化的注意力机制来提取特征.
  • 应用了SHapley添加式扩展算法 (SHAP) 进行最佳特征选择和深度神经网络 (DNN) 进行分类.

主要成果:

  • 通过十倍的交叉验证,Deep-ProBind实现了92.67%的准确性,在独立样本上达到93.62%的准确性.
  • 在培训数据上表现比现有模型高3.57%,在独立测试中表现比现有模型高1.52%
  • 在对蛋白质结合的分类中证明了高可靠性和有效性.

结论:

  • 深度ProBind在预测蛋白质结合方面取得了重大进展.
  • 序列和结构数据的整合提高了预测性能.
  • 该模型是药理学研究和治疗开发的宝贵资源.