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相关概念视频

Feedback Inhibition00:46

Feedback Inhibition

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Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
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Regulation of Sodium and Potassium01:26

Regulation of Sodium and Potassium

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The regulation of sodium and potassium ion concentrations in the human body is a complex process governed primarily by hormones such as aldosterone, antidiuretic hormone (ADH), and atrial natriuretic peptide (ANP).
Sodium Regulation
Sodium ions make up approximately 90% of extracellular cations, with a normal blood plasma concentration of 136–148 mEq/L. A decrease in blood volume and pressure triggers the release of renin from granular cells in the juxtaglomerular complex (JGC), primarily...
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Roles of Electrolytes: Sodium and Potassium01:24

Roles of Electrolytes: Sodium and Potassium

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Sodium plays a crucial role in maintaining fluid and electrolyte balance and overall bodily homeostasis. Sodium balance is primarily regulated by kidney function, which adjusts sodium elimination to match dietary intake and maintain proper electrolyte levels. Sodium is the most abundant cation in the extracellular fluid (ECF) and is found in salts such as sodium chloride (NaCl) and sodium bicarbonate (NaHCO3). Although cellular plasma membranes are relatively impermeable to sodium, its role in...
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Enzyme Inhibition01:30

Enzyme Inhibition

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Inhibitors are molecules that reduce enzyme activity by binding to the enzyme. In a normally functioning cell, enzymes are regulated by a variety of inhibitors. Drugs and other toxins can also inhibit enzymes. Some inhibitors bind to the enzyme’s active site, while others inhibit enzymatic activity by binding to other sites on the protein structure.
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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

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Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
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组合建模方法用于评估-化物共受体抑制的评估.

Julia Kandler1, Ayse Sıla Kantarçeken1, Aljoša Smajić1

  • 1Department of Pharmaceutical Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.

Journal of chemical information and modeling
|January 23, 2026
PubMed
概括
此摘要是机器生成的。

环境化学物质抑制酸同载体 (NIS) 可能导致发育神经毒性. 这项研究开发了一个强大的in silico框架,将机器学习和对接结合起来,以预测NIS抑制,以改进毒理风险评估.

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科学领域:

  • 毒理学 毒理学 毒理学
  • 计算化学的计算化学
  • 神经科学是一个神经科学.

背景情况:

  • 酸同载体 (NIS) 对于甲状腺激素的合成至关重要,对大脑发育至关重要.
  • 环境化学物质对NIS的抑制可能导致神经发育障碍,如自闭症和智商降低.
  • 准确预测发育性神经毒性 (DNT) 对于风险评估至关重要.

研究的目的:

  • 开发和验证用于预测NIS抑制剂的in silico框架.
  • 通过模拟NIS抑制来识别具有DNT潜力的环境化学品.
  • 支持下一代风险评估策略.

主要方法:

  • 应用基于对接的NIS抑制剂的虚拟选.
  • 使用ECFP4和CDDD训练的机器学习模型 (RF,XGB,SVM).
  • 使用9倍交叉验证和内部测试集验证的模型.

主要成果:

  • 结合ML和对接预测改善了歧视 (ROC AUC为0.77).
  • 最佳值产生了0.32的MCC和0.78.78的平衡精度.
  • 使用1412种不同的化合物开发了一个强大的框架.

结论:

  • 这项研究提出了一个新的,强大的计算框架,用于预测NIS抑制.
  • 这种方法可以更好地识别导致DNT的化学物质.
  • 开发的方法代表了毒理风险评估的新方法.