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相关概念视频

Antibody Structure and Classes01:25

Antibody Structure and Classes

4.1K
Antibodies, also known as immunoglobulins, are produced by B cells in response to foreign substances, such as bacteria and viruses. These proteins are critical for recognizing and neutralizing these substances, protecting the body from potential harm.
The basic structure of an antibody consists of four protein chains: two identical heavy chains and two identical light chains. These chains are held together by disulfide bonds and other non-covalent interactions, forming a Y-shaped structure.
4.1K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.0K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.0K
Protein Organization01:24

Protein Organization

7.0K
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
7.0K
Protein-protein Interfaces02:04

Protein-protein Interfaces

13.2K
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...
13.2K

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相关实验视频

Updated: Sep 11, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

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SSRAAI:学习序列和结构表示来预测抗体-抗原相互作用.

Bin Wang, Hongye Yang, Jiarui Liang

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括

    这项研究介绍了SSRAAI,一种新型模型,通过整合3D结构和序列数据来预测抗体-抗原相互作用. 这种方法提高了开发新的基于抗体的治疗方法的准确性和效率.

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    Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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    Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
    05:08

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

    • 免疫学和生物信息学
    • 计算生物学和药物发现

    背景情况:

    • 准确的抗体-抗原相互作用 (AAI) 识别对于治疗开发至关重要,但湿实验室方法昂贵且耗时.
    • 现有的计算方法经常忽视关键的3D结构信息,并与有限的相互作用数据作斗争,影响新型抗体的预测.

    研究的目的:

    • 开发一种创新的计算模型,SSRAAI,用于预测抗体-抗原相互作用 (AAI).
    • 通过整合序列和3D结构数据来解决传统方法的局限性,以改善AAI预测.

    主要方法:

    • 开发了SSRAAI,这是一个学习AAI预测的集成序列和结构表示的模型.
    • 从预测的蛋白质数据库 (PDB) 3D结构中提取结构特征,使用接触图.
    • 嵌入的序列特征来自自适应关系图来增强预测准确性.

    主要成果:

    • 通过独特地将PDB 3D结构信息与序列数据相结合,SSRAAI模型证明了有效的AAI预测.
    • 对HIV和SARS-CoV-2数据集的验证证实了该模型在识别抗体-抗原相互作用方面的能力.

    结论:

    • 通过利用结构和序列数据,SSRAAI在预测抗体-抗原相互作用方面取得了重大进展.
    • 该模型的综合方法为AAI提供了更全面的理解,为更有效的药物和疫苗开发铺平了道路.