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相关概念视频

The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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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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Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

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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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Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

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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...
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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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相关实验视频

Updated: Sep 14, 2025

Creating Highly Specific Chemically Induced Protein Dimerization Systems by Stepwise Phage Selection of a Combinatorial Single-Domain Antibody Library
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一种基于互补的方法来设计De Novo粘合剂设计.

Kateryna Maksymenko1,2, Valeriia Hatskovska1,3, Murray Coles1

  • 1Department of Protein Evolution, Max Planck Institute for Biology, 72076, Tübingen, Germany.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|July 21, 2025
PubMed
概括
此摘要是机器生成的。

本研究提出了一种用于设计针对特定表位体的蛋白质结合剂的计算方法. 该方法成功地为癌症标生成纳米分子结合剂,在体内显示治疗潜力.

关键词:
一个新的绑定器设计设计.在IL-7R结合剂中.VEGF 抑制剂的使用互补性评估的评价.蛋白质与蛋白质的对接

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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科学领域:

  • 计算生物学是一种计算生物学.
  • 蛋白质工程是一种蛋白质工程.
  • 药物发现 药物发现

背景情况:

  • 设计特定表位体的蛋白质结合剂是具有挑战性的.
  • 目前的方法往往需要广泛的经验优化或体外查.

研究的目的:

  • 介绍一个可通用的计算策略,用于新设计特定位点的蛋白质结合剂.
  • 为了绕过广泛的经验优化或体外查的需要.

主要方法:

  • 开发了一个码头和设计管道,检索互补的脚手架并改变它们以创建绑定站点.
  • 使用了一种新的指纹来简化和加快表面互补性评估.
  • 该方法通过设计结合剂与血管内皮生长因子 (VEGF) 和互白素-7受体-α (IL-7Rα) 上的表观素进行了验证.

主要成果:

  • 对24个候选物的实验性表征为每个标表位产生了纳米分子结合剂,具有多样化的蛋白质折叠.
  • 几种设计的结合剂在体外表现出活性.
  • 抗VEGF结合剂在体内表现出瘤抑制活性.

结论:

  • 本文所介绍的计算策略对于对特定位点的蛋白质结合剂的新设计是有效的.
  • 设计的结合剂显示了针对瘤原体点的治疗潜力.
  • 这种方法加速了新型治疗蛋白质的发现.