Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Diffusion01:12

Diffusion

224.3K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
224.3K
Diffusion01:21

Diffusion

6.9K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.9K
Reynolds Transport Theorem01:24

Reynolds Transport Theorem

2.0K
The Reynolds transport theorem provides a framework to relate the time rate of change of an extensive property within a system to that in a control volume, which is crucial for analyzing fluid dynamics. Extensive properties, such as mass, velocity, acceleration, temperature, and momentum, can be expressed in terms of the mass of a fluid portion. These properties are called extensive because they depend on the system's size, while intensive properties are their corresponding values per unit...
2.0K
Distribution and Dispersion00:54

Distribution and Dispersion

25.7K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
25.7K
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

1.5K
Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting...
1.5K
Gene Flow02:39

Gene Flow

38.4K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
38.4K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

SynVerse: a modular framework for building and evaluating deep learning-based drug synergy prediction models.

Briefings in bioinformatics·2025
Same author

NEFFy: a versatile tool for computing the number of effective sequences.

Bioinformatics (Oxford, England)·2025
Same author

Ligand interaction landscape of transcription factors and essential enzymes in E. coli.

Cell·2025
Same author

ICoN: integration using co-attention across biological networks.

Bioinformatics advances·2025
Same author

SPIDER: constructing cell-type-specific protein-protein interaction networks.

Bioinformatics advances·2024
Same author

Current and future directions in network biology.

Bioinformatics advances·2024
Same journal

Trust, Reproducibility, and Progress: The Roles of Independent Blind Prediction and Assessment and Benchmarking in Computational Biology.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

The Evolving Cyberinfrastructure at the National Institutes of Health to Support Data and AI in Biomedical Research.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Applications of AI & ML in Biomanufacturing of Cell and Gene Therapies.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

AI for Health: Leveraging Artificial Intelligence to Revolutionize Healthcare.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Workshop Introduction: Advances of AI Methods in Single Cell Spatial Omics.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Feb 28, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

12.7K

Rastreo de Procedencia en Algoritmos de Difusión de Redes

Nure Tasnina1, Mark Crovella2, Simon Kasif3

  • 1Dept. of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA, tasnina@vt.edu.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|February 27, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Desarrollamos un nuevo método para rastrear el flujo de información en redes biológicas utilizando algoritmos de difusión. Este enfoque revela cómo la estructura de la red influye en la propagación de datos e identifica proteínas clave en procesos biológicos.

Palabras clave:
algoritmos de difusiónredes biológicasrastreo de procedenciabiología de sistemasanálisis de redes

Más Videos Relacionados

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

27.1K
The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

9.1K

Videos de Experimentos Relacionados

Last Updated: Feb 28, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

12.7K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

27.1K
The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

9.1K

Área de la Ciencia:

  • Biología de Sistemas
  • Biología de Redes
  • Biología Computacional

Sus antecedentes:

  • Los algoritmos de difusión se utilizan ampliamente en aplicaciones biológicas.
  • El rastreo de procedencia para estos algoritmos se ha pasado por alto.
  • Comprender la propagación de información en redes biológicas es crucial.

Objetivo del estudio:

  • Proponer una nueva estrategia basada en rutas para el rastreo de procedencia en algoritmos de difusión de redes basados en caminatas aleatorias.
  • Introducir medidas cuantitativas para evaluar la efectividad de la difusión y la importancia de los nodos.
  • Aplicar y validar el marco en redes biológicas, incluidos los interactores de SARS-CoV-2.

Principales métodos:

  • Desarrolló un enfoque basado en rutas para clasificar las contribuciones de las rutas a las puntuaciones de los nodos.
  • Introdujo las métricas 'difusión efectiva basada en rutas' y 'centralidad de difusión'.
  • Aplicó el marco a los algoritmos de Laplaciano Regularizado y Caminata Aleatoria con Reinicio en redes de señalización y PPI humanas.

Principales resultados:

  • Demostró que los algoritmos de difusión utilizan rutas de múltiples aristas y la topología de la red.
  • Identificó proteínas clave a través de la centralidad de difusión, enriquecidas con genes humanos esenciales e interactores virales.
  • Mostró la superposición entre las rutas de mayor contribución y las vías de COVID-19 en una red de señalización humana.

Conclusiones:

  • El marco basado en rutas proporciona información valiosa sobre los algoritmos de difusión.
  • Ofrece una herramienta poderosa para la interpretación biológicamente significativa de las puntuaciones de difusión.
  • Complementa los enfoques existentes de biología de sistemas al proporcionar una perspectiva centrada en las rutas.