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相关概念视频

Biopharmaceutical Factors Influencing Drug Product Design: Overview01:22

Biopharmaceutical Factors Influencing Drug Product Design: Overview

377
Rational drug product design integrates knowledge of the drug’s physicochemical properties, formulation components, manufacturing techniques, and intended route of administration. Each factor influences the drug’s performance, including how it is released, absorbed, and eliminated in the body.The physicochemical properties of a drug—such as solubility, stability, and particle size—affect its compatibility with excipients and the choice of dosage form. Excipients, though...
377
In Vitro Drug Dissolution: Compendial Testing Models I01:13

In Vitro Drug Dissolution: Compendial Testing Models I

375
Compendial dissolution methods are standardized procedures defined by pharmacopeias to evaluate the rate at which a drug dissolves in a specific medium. These methods ensure batch-to-batch consistency, enable quality control, and support the prediction of drug bioavailability. They are critical for both immediate and modified-release drug products.The apparatuses used for dissolution testing differ in their design and mechanical function, but all aim to simulate the physiological environment of...
375
In Vitro Drug Dissolution: Compendial Testing Models II01:09

In Vitro Drug Dissolution: Compendial Testing Models II

406
Various dissolution methods are utilized to assess a drug’s dissolution rate, including the flow-through cell, paddle-over-disk, cylinder, and reciprocating disk methods.The flow-through cell apparatus (USP (United States Pharmacopeia) method 4) comprises a reservoir for the dissolution medium and a pump that propels the medium through the cell containing the test sample. This method is crucial for assessing modified-release dosage forms with minimally soluble active ingredients,...
406
Drug Product Performance: In Vitro–In Vivo Correlation01:20

Drug Product Performance: In Vitro–In Vivo Correlation

322
In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while...
322
In Vitro Drug Dissolution: Alternative Methods01:17

In Vitro Drug Dissolution: Alternative Methods

291
Alternative drug dissolution methods include the rotating bottle, intrinsic dissolution test, peristalsis, and the Franz diffusion cell method. The rotating bottle method involves meticulously rotating tightly capped controlled-release beads in a temperature-controlled bath. Periodic decanting of samples allows for residue assay, followed by refilling with fresh medium and testing at various pH levels to emulate the gastrointestinal tract conditions.In contrast, the intrinsic dissolution test...
291
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

379
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
379

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破解囊体代码:一种计算可行的方法,用于研究生物制剂设计中的病毒辅助剂相互作用.

Jonathan W P Zajac1,2, Idris Tohidian3, Praveen Muralikrishnan2,4

  • 1Department of Chemistry, University of Minnesota, Minneapolis, Minnesota 55455, United States.

Journal of chemical theory and computation
|February 25, 2026
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概括

开发像疫苗这样的稳定病毒生物制剂需要了解辅助剂相互作用. 一种新的计算方法,CapSACIN,能够对这些相互作用进行高吞吐量分析,从而改进了配方策略.

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科学领域:

  • 生物物理学的生物物理.
  • 计算生物学 计算生物学
  • 疫苗开发 疫苗开发

背景情况:

  • 病毒生物制剂 (疫苗,类似病毒的颗粒) 的保质期有限,阻碍了有效性和分布.
  • 助剂对于稳定病毒配方至关重要,但由于复杂的相互作用和广的设计空间,识别最佳配方是具有挑战性的.
  • 目前的分子动力学模拟与大型病毒囊的计算需求作斗争.

研究的目的:

  • 引入CapSACIN,这是一个新的计算框架,用于对病毒与辅助剂相互作用的高通量原子学研究.
  • 为了使辅助剂设计空间能够有效地探索病毒生物稳定.
  • 为了解决模拟大型病毒结构的计算局限性.

主要方法:

  • 开发了CapSACIN (Capsid表面抽象和计算诱导的纳米碎片) 框架.
  • 应用CapSACIN来模拟非外病毒,猪类帕维病毒 (PPV).
  • 在抽象的PPV表面模型上利用分子动力学模拟.

主要成果:

  • 确定PPV中的2倍对称轴在分子层面上比3倍和5倍轴弱.
  • 在CapSACIN模拟和对辅助剂对PPV热稳定性影响的实验数据之间表现出很好的一致性.
  • 展示了CapSACIN对病毒辅助剂相互作用的高通量,原子分辨率分析的能力.

结论:

  • 卡普萨辛 (CapSACIN) 提供了一种计算效率高的方法,用于在分子水平上研究病毒与辅助剂的相互作用.
  • 该框架有助于理解囊体稳定性和优化病毒生物制剂的配方.
  • 这种方法加快了有效辅助剂的发现,改善了疫苗和相关产品的保质期和分销.