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Drug-Receptor Bonds01:25

Drug-Receptor Bonds

3.3K
Drug-receptor bonds are formed through various chemical forces when drugs interact with target cells. Covalent bonds, strong and irreversible, are exemplified by DNA-alkylating anticancer agents that inhibit cell division. However, such irreversible drug binding lacks selectivity and can modify the DNA of the surrounding healthy cells. Covalent binding often contributes to tissue toxicity, as seen with chloroform and paracetamol metabolites binding to the liver, causing hepatotoxicity.
In...
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The Two-State Receptor Model01:29

The Two-State Receptor Model

2.5K
The two-state receptor model explains a drug's interaction with receptors, such as G protein-coupled receptors and ligand-gated ion channels, to induce or inhibit a biological response. When no natural ligands are present, a receptor exists in an equilibrium of inactive (Ri) and active (Ra) conformations. The inactive form does not produce a response, while the active form generates a basal effect known as constitutive activity.
The binding affinity of a drug determines its interaction with...
2.5K
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

1.2K
The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower...
1.2K
Drug-Receptor Interactions01:29

Drug-Receptor Interactions

6.1K
Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
6.1K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

8.0K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
8.0K
Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

7.5K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
7.5K

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相关实验视频

Updated: Sep 18, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

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扩散极限和反应性/亲和性难题:对不可逆转调节器的优化和命中探测的影响.

Bharath Srinivasan1,2,3

  • 1School of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen AB10 7AQ, U.K.

Journal of medicinal chemistry
|June 25, 2025
PubMed
概括
此摘要是机器生成的。

针对性的不可逆转抑制药物设计面临着物理限制. 增加小分子亲和力以获得更好的结合也降低了反应性,影响了针对难以达到目标的药物开发.

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相关实验视频

Last Updated: Sep 18, 2025

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科学领域:

  • 药用化学 医学化学
  • 化学动力学 化学动力学
  • 药物发现 药物发现 药物发现

背景情况:

  • 不可逆转的抑制是一种关键的治疗策略,在过去十年中越来越突出.
  • 目前的药物设计往往平衡了小分子亲和力和电友反应性,以最大限度地减少目标外影响.
  • 为了设计有效的不可逆转抑制剂,存在有限的理论框架.

研究的目的:

  • 在不可逆转的抑制剂设计中挑战传统的方法.
  • 提出一个动力极限,使不活化速率常数与抑制常数 (k_inact/K_I) 相比.
  • 探索这种动力极限对药物发现和优化的影响.

主要方法:

  • 对不可逆转抑制的动态分析.
  • 理论评估分子相互作用中的速度限制步骤.
  • 讨论对药物设计策略的影响.

主要成果:

  • 在抑制常数 (k_inact/K_I) 上的失活率常数在物理上受到扩散率的限制.
  • 试图在这个极限上增强小分子亲和力,需要在反应性上进行权衡.
  • 这种动力限制影响了不可逆转抑制剂的命中发现和优化.

结论:

  • 不可逆转的抑制剂的设计受到基本运动原理的约束.
  • 优化策略必须考虑到亲和力和反应力之间的扩散有限的权衡.
  • 这种理解对于开发针对具有挑战性的目标的药物至关重要,特别是那些具有浅层结合口袋的药物.