Un marco computacional para el control óptimo y predictivo del modelo de redes estocásticas de regulación de genes
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Ver abstracta en PubMed
Resumen
Este resumen es generado por máquina.Este estudio introduce un nuevo marco computacional para controlar las redes reguladoras de genes, gestionando de manera eficiente el ruido molecular para una ingeniería de población celular precisa. El método optimiza las estrategias de control para comportamientos celulares complejos y seguimiento dinámico en aplicaciones de biología sintética.
Área De La Ciencia
- Biología de sistemas
- Biología sintética
- Teoría de control
Sus Antecedentes
- El diseño de controladores para funciones celulares enfrenta desafíos en el manejo del ruido molecular.
- La solución precisa y eficiente de la ecuación maestra química es un cuello de botella para el control basado en modelos de sistemas biomoleculares estocásticos.
Objetivo Del Estudio
- Desarrollar un marco para el control óptimo y predictivo de redes estocásticas de regulación de genes.
- Abordar las limitaciones en la eficiencia computacional y el control preciso sobre el comportamiento de la población celular.
- Proporcionar un manejo robusto del ruido molecular intrínseco en los sistemas biológicos.
Principales Métodos
- Utilizó una aproximación eficiente de la ecuación maestra química a través de ecuaciones diferenciales integrales parciales.
- Implementado un método de optimización basado en adjunto para un control mejorado.
- Aplicó el marco a las redes estocásticas de regulación de genes.
Principales Resultados
- Lograr una alta eficiencia computacional en el diseño del sistema de control.
- Se ha demostrado un control preciso de la función de densidad de probabilidad para comportamientos complejos de la población celular, incluida la bimodalidad.
- Mostró un manejo robusto del ruido molecular intrínseco.
Conclusiones
- El marco desarrollado ofrece ventajas significativas para la cibergenética y la biología sintética.
- Permite ajustar las poblaciones celulares para propiedades emergentes y seguimiento dinámico.
- Proporciona un enfoque eficaz para el control basado en modelos de sistemas biomoleculares ruidosos.
Estos videos han sido emparejados automáticamente Contact us si no son relevantes
Estos videos han sido emparejados automáticamente Contact us si no son relevantes
Videos de Conceptos Relacionados
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...