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相关概念视频

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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Ligand Binding Sites02:40

Ligand Binding Sites

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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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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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Molecular Models02:00

Molecular Models

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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相关实验视频

Updated: Jan 14, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

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自动RevDock:一个开源工具包,用于可扩展的反向对接.

Qing Luo1, Yuguang Mu2, Liangzhen Zheng3

  • 1Centre in Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.

Protein science : a publication of the Protein Society
|October 22, 2025
PubMed
概括
此摘要是机器生成的。

AutoRevDock是一个新的开源工具包,可以加速药物发现的反向对接. 它增强了用于重新定位和多药学研究的目标识别,提高了准确性和吞吐量.

关键词:
药物重用是为了改变药物的用途.药物与目标药物相互作用反向对接的反向对接目标捕鱼是一种目标捕鱼.目标预测目标预测

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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
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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

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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

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

  • 计算化学是一种计算化学.
  • 药物发现 药物发现
  • 生物信息学是一种生物信息学.

背景情况:

  • 反向对接对于药物重用和多药学至关重要.
  • 现有的工具在速度,准确性和可访问性方面面临限制.

研究的目的:

  • 介绍AutoRevDock,这是一个开源的Python工具包,用于改进反向对接.
  • 提高逆对接工作流程的吞吐量,准确性和本地执行.

主要方法:

  • 集成的AutoDockVina和idock与混合Vina_SFCT评分方案. 这是一个非常好的解决方案.
  • 提供预处理的人类蛋白质组和DrugBank目标库.
  • 启用了自定义目标库和自动本地执行.

主要成果:

  • 与AutoDock Vina.相比,idock显示了超过40倍的速度改进.
  • 维纳_SFCT 改进了多目标药物的目标识别.
  • 蛋白质家族信息增强了预测能力和命中率.

结论:

  • AutoRevDock提供了一个可扩展的,用户友好的解决方案,用于高吞吐量目标捕鱼.
  • 该工具包促进了高效的药物重定位和多药理学研究.
  • 开源可用性促进了药物发现的更广泛采用.