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Biopharmaceutical Factors Influencing Drug Product Design: Overview01:22

Biopharmaceutical Factors Influencing Drug Product Design: Overview

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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...
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In Vitro Drug Dissolution: Compendial Testing Models I01:13

In Vitro Drug Dissolution: Compendial Testing Models I

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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...
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In Vitro Drug Dissolution: Compendial Testing Models II01:09

In Vitro Drug Dissolution: Compendial Testing Models II

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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,...
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Drug Product Performance: In Vitro–In Vivo Correlation01:20

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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...
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In Vitro Drug Dissolution: Alternative Methods01:17

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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...
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Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

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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.
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Video Experimental Relacionado

Updated: Feb 26, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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Descifrando el Código de la Cápside: Un Enfoque Computacionalmente Factible para Investigar las Interacciones

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
PubMed
Resumen

El desarrollo de biológicos virales estables como las vacunas requiere la comprensión de las interacciones con los excipientes. Un nuevo método computacional, CapSACIN, permite el análisis de alto rendimiento de estas interacciones, mejorando las estrategias de formulación.

Palabras clave:
interacciones virus-excipientediseño de biológicosestabilidad de vacunasmétodos computacionalesformulación de biológicosnanopartículas viralesdinámica molecularexcipientes farmacéuticosdiseño de vacunasestabilidad de proteínas

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Área de la Ciencia:

  • Biofísica
  • Biología Computacional
  • Desarrollo de Vacunas

Sus antecedentes:

  • Los biológicos virales (vacunas, partículas similares a virus) tienen una vida útil limitada, lo que dificulta su eficacia y distribución.
  • Los excipientes son cruciales para estabilizar las formulaciones virales, pero la identificación de los óptimos es un desafío debido a las interacciones complejas y al vasto espacio de diseño.
  • Las simulaciones actuales de dinámica molecular luchan con las demandas computacionales de las grandes cápsides virales.

Objetivo del estudio:

  • Presentar CapSACIN, un marco computacional novedoso para la investigación de alto rendimiento y atómica de las interacciones virus-excipiente.
  • Permitir la exploración eficiente del espacio de diseño de excipientes para la estabilización de biológicos virales.
  • Abordar las limitaciones computacionales de la simulación de grandes estructuras virales.

Principales métodos:

  • Desarrollo del marco CapSACIN (Capsid Surface Abstraction and Computationally-Induced Nanofragmentation).
  • Aplicación de CapSACIN para modelar el virus no envuelto, el parvovirus porcino (PPV).
  • Utilización de simulaciones de dinámica molecular en modelos de superficie de PPV abstraídos.

Principales resultados:

  • Se identificó que el eje de simetría 2 veces en PPV es más débil a nivel molecular en comparación con los ejes 3 y 5 veces.
  • Se demostró una excelente concordancia entre las simulaciones de CapSACIN y los datos experimentales sobre los efectos de los excipientes en la estabilidad térmica de PPV.
  • Se mostró la capacidad de CapSACIN para el análisis de alto rendimiento y resolución atómica de las interacciones virus-excipiente.

Conclusiones:

  • CapSACIN proporciona un método computacionalmente eficiente para estudiar las interacciones virus-excipiente a nivel molecular.
  • El marco ayuda a comprender la estabilidad de la cápside y a optimizar las formulaciones para biológicos virales.
  • Este enfoque acelera el descubrimiento de excipientes efectivos, mejorando la vida útil y la distribución de vacunas y productos relacionados.