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相关概念视频

Conserved Binding Sites01:49

Conserved Binding Sites

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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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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-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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TransABseq:一种基于蛋白质序列的两阶段方法,用于预测基因突变后的抗原-抗体结合 afinity 变化.

Cui-Feng Li1, Zihao Yan2, Fang Ge3

  • 1School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang 212100, China.

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|May 12, 2025
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概括

TransABseq 预测突变如何影响抗原-抗体相互作用,使用一种新的两阶段计算框架. 该工具增强了对抗体功能在疾病检测和治疗开发中的理解.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 免疫学 免疫学 免疫学
  • 生物信息学是一种生物信息学.

背景情况:

  • 抗原-抗体相互作用对于宿主防御,诊断和治疗至关重要.
  • 抗体的特异性和亲和力是它们临床应用的关键.
  • 预测突变对这些相互作用的影响对于药物开发至关重要.

研究的目的:

  • 开发一种新的计算框架TransABseq,用于预测误解突变对抗原-抗体相互作用的影响.
  • 为了提高预测突变对抗体结合的影响的准确性和稳定性.

主要方法:

  • TransABseq采用两级架构,结合了蛋白质语言模型嵌入,变压器编码器和多尺度卷积模块.
  • 深度特征融合策略整合了生物化学特性,全球序列依赖性和层次特征.
  • 在XGBOOST模型执行基于融合特征的定量预测.

主要成果:

  • 在交叉验证中,TransABseq表现出强的表现,平均PCC值为0.607-0.843,RMSE值为1.166-1.337 kcal/mol.
  • 该模型在盲测试数据上显示出优异的预测准确性,PCC为0.721和RMSE为0.925kcal/mol.
  • 深度功能融合策略有效地揭示了蛋白质的生化特性.

结论:

  • TransABseq提供了一个强大而准确的计算工具,用于预测抗原-抗体相互作用的突变效应.
  • 该框架的创新架构和功能融合增强了预测能力.
  • 公共可用的代码和数据有助于进一步研究抗体工程和药物发现.