Search research articles

ACERCA DE JoVE

Visión General Liderazgo Blog Centro de Ayuda JoVE

AUTORES

Proceso de Publicación Consejo Editorial Alcance y Políticas Revisión por Pares Preguntas Frecuentes Enviar

BIBLIOTECARIOS

Testimonios Suscripciones Acceso Recursos Consejo Asesor de Bibliotecas Preguntas Frecuentes

INVESTIGACIÓN

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archivo

EDUCACIÓN

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Centro de Recursos para Profesores Sitio de Profesores

Términos y Condiciones de Uso

Política de Privacidad

Videos de Conceptos Relacionados

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Protein Networks

Protein Networks

Covalently Linked Protein Regulators

Covalently Linked Protein Regulators

Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....

Covalently Linked Protein Regulators

Covalently Linked Protein Regulators

Interactions Between Signaling Pathways

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...

Network Function of a Circuit

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.

También podría leer

Artículos Relacionados

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

Ordenar por

Same author

Adaptive multi-model ensembles for improved epidemic projections and decision support.

medRxiv : the preprint server for health sciences·2026

Same author

Ethnicity and Pathway Progression: A Retrospective Cohort Study of Male Offenders Managed Under London Offender Personality Disorder Pathway Services.

Criminal behaviour and mental health : CBMH·2026

Same author

Social vulnerability and the mental health consequences of the death of a close friend in older adulthood.

The journals of gerontology. Series B, Psychological sciences and social sciences·2026

Same author

The Offender Personality Disorder Pathway for Men: Staff Perceptions About Possible Impact on Re-offending in High-Risk Individuals with Personality Disorder.

International journal of offender therapy and comparative criminology·2026

Same author

Assessing the Impact of Timing and Coverage of United States COVID-19 Vaccination Campaigns: A Multi-Model Approach.

medRxiv : the preprint server for health sciences·2026

Same author

Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networks.

NPJ systems biology and applications·2026

Search research articles

Video Experimental Relacionado

Updated: Apr 21, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Modelos de red. modelos de red. Comentario sobre "Perfiles de control de redes complejas"

Colin Campbell¹, Katriona Shea², Réka Albert³

¹Department of Physics, Pennsylvania State University, 122 Davey Laboratory, University Park, PA 16802, USA. Department of Biology, Pennsylvania State University, 208 Mueller Laboratory, University Park, PA 16802, USA. cec220@psu.edu.

Science (New York, N.Y.)

|November 1, 2014

Resumen

Los modelos de red existentes no logran replicar los perfiles de control del mundo real. Un modelo modificado de Barabási-Albert permite ajustar los perfiles de control para un mejor análisis de redes complejas.

Más Videos Relacionados

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Mapping Dysfunctional Protein-Protein Interactions in Disease

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

Videos de Experimentos Relacionados

Last Updated: Apr 21, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Mapping Dysfunctional Protein-Protein Interactions in Disease

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

Área de la Ciencia:

Ciencia de la red Ciencia de la red.
Modelado computacional de la computación.

Sus antecedentes:

Los modelos de redes aleatorias sintéticas existentes no generan con precisión los perfiles de control que se encuentran en las redes del mundo real.
Esta discrepancia limita el análisis significativo de los perfiles de control en sistemas complejos.

Objetivo del estudio:

Abordar las limitaciones de los actuales modelos de redes sintéticas en la replicación de perfiles de control de redes reales.
Introducir una extensión sintonizable del modelo Barabási-Albert para mejorar el análisis de la red.

Principales métodos:

Extensión del modelo de Barabási y Albert.
Ajuste de la generación de perfiles de control a través de un espacio de parámetros definido.

Principales resultados:

El modelo extendido Barabási-Albert genera con éxito perfiles de control sintonizables.
La salida del modelo coincide más estrechamente con los perfiles de control observados en redes reales.

Conclusiones:

Un modelo modificado de Barabási-Albert ofrece un enfoque más preciso para simular perfiles de control de red.
Este avance permite análisis más robustos y significativos de las estructuras y dinámicas de redes del mundo real.