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Videos de Conceptos Relacionados

Formulation and Manufacturing Process: Physical Attributes of Generic Tablets and Capsules01:18

Formulation and Manufacturing Process: Physical Attributes of Generic Tablets and Capsules

339
Bioequivalence in generic drugs, such as tablets and capsules, refers to their pharmaceutical equivalence to the brand-name counterparts. However, for therapeutic equivalence, manufacturers must also consider physical attributes like size, shape, and weight (FDA Guidance for Industry, December 2003). Discrepancies in these aspects could impact patient compliance and cause medication errors. For instance, swallowing difficulties, often experienced with larger tablets or capsules, can lead to...
339
Physical Assessment of the Respiratory Tract II: Inspection01:27

Physical Assessment of the Respiratory Tract II: Inspection

945
Physical assessment of the respiratory tract through inspection is a crucial step in understanding the patient's respiratory health. It provides insights into the functioning of the respiratory system, the musculoskeletal structure, and even the patient's nutritional status. This comprehensive approach involves observing several vital aspects: chest configuration, breathing patterns, respiratory rates, skin color, and use of accessory muscles.
Chest Configuration
The chest configuration...
945
Physical Assessment of the Respiratory Tract II: Palpation01:24

Physical Assessment of the Respiratory Tract II: Palpation

2.0K
Physical assessment of the respiratory tract is critical in identifying potential health issues. One key component of this assessment is palpation, a technique healthcare providers use to assess the body for abnormalities. This content explores the method of palpation in evaluating the respiratory tract, focusing on thoracic palpation and tactile fremitus.
Thoracic Palpation
Thoracic palpation detects tenderness, masses, lesions, respiratory excursions, and vocal fremitus. The nurse assesses...
2.0K
Assessment of the Gastrointestinal System I: Subjective Data01:17

Assessment of the Gastrointestinal System I: Subjective Data

690
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health History
The initial step in assessing the GI system is obtaining a comprehensive health history. This includes inquiring about the patient's history or presence of problems...
690
Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

927
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
927
Physical Assessment of the Respiratory Tract I: Health History01:28

Physical Assessment of the Respiratory Tract I: Health History

937
Physical assessment of the respiratory tract is critical to patient care. It allows healthcare professionals to identify and manage various respiratory conditions. The process involves a combination of subjective and objective data collection.
Subjective Data
Subjective data provides vital information about the patient's health history and symptoms. This data is typically collected through interviews in which patients describe their experiences, symptoms, and concerns.
Health history and...
937

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Video Experimental Relacionado

Updated: Feb 12, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

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Una nueva plataforma in silico que combina modelos basados en datos y físicos para la evaluación de la capacidad de

Andrea Arsiccio1, Kristian Le Vay1, Andre Sao Pedro1

  • 1Coriolis Pharma Research GmbH, Fraunhoferstr. 18 b, 82152 Martinsried, Germany.

Journal of pharmaceutical sciences
|February 10, 2026
PubMed
Resumen

Este estudio introduce una nueva plataforma computacional que predice la estabilidad terapéutica de las proteínas y las necesidades de formulación utilizando solo la secuencia de proteínas. Este enfoque reduce los costosos fracasos en el desarrollo de fármacos al permitir una evaluación temprana del riesgo.

Palabras clave:
Caracterización biofarmacéutica de las características biofarmacéuticas.Modelado in silico para el modelado in silico.El aprendizaje automático es el aprendizaje automático.Dinámica molecular La dinámica molecular es la dinámica molecular.Las proteínas son proteínas.Formulación de las proteínas (((s)

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Área de la Ciencia:

  • Desarrollo Biofarmacéutico de Desarrollo Biofarmacéutico
  • Química computacional es la química computacional.
  • Ingeniería de proteínas Ingeniería de proteínas.

Sus antecedentes:

  • El desarrollo de proteínas terapéuticas implica una inversión significativa y se enfrenta a altas tasas de fracaso.
  • Las fallas a menudo se derivan de la inestabilidad molecular y los desafíos de formulación, particularmente en las primeras etapas de desarrollo.
  • La sustancia farmacéutica en etapa temprana limitada requiere métodos de evaluación alternativos como el modelado computacional.

Objetivo del estudio:

  • Presentar una nueva plataforma in silico para evaluar la capacidad de desarrollo de formulaciones terapéuticas de proteínas.
  • Para reducir los riesgos financieros y de tiempo asociados con costosos fracasos en el desarrollo de fármacos.
  • Proporcionar un método que requiera solo la secuencia primaria de la proteína, evitando la necesidad de material físico.

Principales métodos:

  • Desarrollo de una nueva plataforma in silico que integre modelos basados en datos y físicos.
  • Utilizó técnicas computacionales que incluyen predicción de estructuras, bioinformática, aprendizaje automático y dinámica molecular.
  • La entrada de la plataforma es la secuencia de aminoácidos primaria de la proteína terapéutica.

Principales resultados:

  • La plataforma identifica las responsabilidades proteicas y las propiedades periféricas.
  • Evalúa la idoneidad para formulaciones de alta concentración y los efectos de las condiciones de formulación de pantallas en la autointeracción.
  • El sistema sugiere corredores de formulación óptimos para las proteínas terapéuticas.

Conclusiones:

  • La plataforma desarrollada in silico ofrece una poderosa herramienta para la evaluación en etapa temprana de los candidatos a fármacos de proteínas.
  • Permite la reducción de riesgos al predecir la capacidad de desarrollo de la formulación sin material físico.
  • Los estudios de caso demuestran la aplicabilidad de la plataforma y la validación experimental en escenarios del mundo real.