Genomic instability has been increasingly recognized over the past decade as a fundamental driver of cancer initiation and progression, largely owing to its association with specific genes cellular mechanisms that offer therapeutic potential. However, comprehensive molecular framework captures interconnected processes underlying this phenomenon remains elusive. In study, we focused on polo-like kinase 1 (PLK1), key cell cycle regulator frequently overexpressed in diverse human tumors,...

The coronavirus pandemic is a major public health crisis affecting global systems with dire socioeconomic consequences, especially in vulnerable regions such as Latin America (LATAM). There an urgent need for vaccine to help control contagion, reduce mortality and alleviate social costs. In this study, we propose rational multi-epitope candidate against SARS-CoV-2. Using bioinformatics, constructed library of potential peptides, based on the affinity most common human histocompatibility...

Computational modeling and simulation of biological systems have become valuable tools for understanding predicting cellular performance phenotype generation. This work aimed to construct, model, dynamically simulate the virulence factor pyoverdine (PVD) biosynthesis in Pseudomonas aeruginosa through a systemic approach, considering that metabolic pathway PVD synthesis is regulated by quorum-sensing (QS) phenomenon. The methodology comprised three main stages: (i) Construction, modeling,...

Model organisms are fundamental in cancer research given that they rise the possibility to characterize a quantitative-objective fashion as whole ways infeasible humans. From this perspective, model with short generation times and established protocols for genetic manipulation allow understanding of basic biology principles might guide carcinogenic onset. The cancer-hallmarks (CHs) approach, modular perspective understanding, stands underlying variability among different types, critical...

Functional enrichment analysis is a cornerstone in bioinformatics as it makes possible to identify functional information by using gene list source. Different tools are available compare ontology (GO) terms, based on directed acyclic graph structure or content-based algorithms which time-consuming and require priori of GO terms. Nevertheless, quantitative procedures terms among lists species not available. Here we present computational procedure, implemented R, infer derived from comparative...

Abstract The coronavirus pandemic is a major public health crisis affecting global systems with dire socioeconomic consequences, especially in vulnerable regions such as Latin America. There an urgent need for vaccine to help control contagion, reduce mortality and alleviate social costs. In this study, we propose rational multi-epitope against SARS-CoV-2. Using bioinformatics, constructed library of potential peptides predict immunological complexes among antigenic, non-toxic non-allergenic...

<p><strong></strong>The ionotropic glutamate receptors activated by N-Methyl-D-Aspartate (iGluR-NMDA) are of great importance in pharmacology since they involved neurodegenerative and neuropsychiatric disorders; even participate processes such as synaptic plasticity that essential for memory formation. Subunit NR1 iGluRs-NMDA is paramount the appropriate activation this type receptors; fact, many pharmaceutical products studied abovementioned disorders targeted specifically...

INTRODUCTION. The expression of the HSP stress inducted are regulated by Shock Thermic Factor (HSF), that exists in an inactive form as a monomer and when it becomes trimer can make bind to DNA activating transcription.OBJECTIVE. Design computational model helps elucidate possible interactions between quercetin fl avonoid proteins such HSF-1.METHODOLOGY. To observe how possibly affects timerization HFS, we homology human shock factor (HFS-1), obtaining high structural with same protein...

En la mayoría de los casos en que se requiere describir una red biológica propone un sistema ecuaciones diferenciales acopladas, luego resuelve por métodos numéricos. Sin embargo, cuando solo valor estado estacionario no predice el comportamiento población total, es indispensable modelo representación describa distribución estados dentro sistema. El algoritmo propuesto Gillespie 1998 consiste descripción fenómeno específico mediante herramientas estocásticas, donde ecuación maestra...

Motivación: La expresión del factor es una respuesta de E.Coli bajo condiciones choque térmico. El mecanismo inducción las proteínas chaperonas y proteasas térmico ha sido bastante estudiado, pero gran parte la red regulación no se comprende completamente. Por esto, en este trabajo plantea un modelo determinístico red, el cual soluciona por medio herramientas presentes Matlab® seguida evalúa influencia velocidad transcripción, traducción degradación sobre todas concentraciones especies...

The objective of this work was to determine by metagenomics the effect advanced oxidation systems on taxonomic and functional diversity pathogenic microorganisms in effluent Salitre wastewater treatment plant Bogotá (Colombia). before after determined Illumina mass sequencing, human genera detecting as Pseudomonas (28.0%), Arcobacter (10.0%), Aeromonas (4.0%), Sulfurospirillum Salmonella (3.0%), Clostridiales (3.0%). Likewise, pathogenicity factors such antimicrobial resistance genes (ARGs)...

Functional enrichment analysis allows the identification of functional or biological characteristics genes through gene ontology terms (GO terms). However, descriptive procedures to compare GO between lists and species are limited. Here we present a computational procedure implemented in R (GOCompare) that comparing categories. To test our approach, were obtained for 5,494 related ten cancer traits Homo sapiens their orthologs Arabidopsis thaliana. GOCompare showed some similarities...