Results: 26

Deep learning analysis on the resulting impacts of weekly load training on students' biological system

Rev. bras. med. esporte; 29 (spe1), 2023
ABSTRACT Introduction The recent development of the deep learning algorithm as a new multilayer network machine learning algorithm has reduced the problem of traditional training algorithms easily falling into minimal places, becoming a recent direction in the learning field. Objective Design and valid...

Application of CRISPR-Cas9 to interrogate novel gene functions in cutaneous melanoma

Melanoma accounts for 3% of skin neoplasms and is the leading cause of death from skin disorders worldwide. The high mortality rate associated with this disease stems from the high capacity of melanoma patients to develop metastases and treatment relapse with inhibitors of the MAPK signaling pathway (suc...

Implementación del aula invertida en la carrera Ingeniería en Bioinformática: Estudio de caso
Implementation of the flipped classroom in the Engineering in Bioinformatics programs: Case study

Rev. cuba. inform. méd; 13 (1), 2021
El presente trabajo aborda una experiencia en la implementación del aula invertida. Se emplea como estrategia de investigación un estudio de caso efectuado en la Universidad de las Ciencias Informáticas (UCI), de 16 estudiantes de Ingeniería en Bioinformática. En los resultados obtenidos, se confirm...

3-State Protein Secondary Structure Prediction based on SCOPe Classes

Abstract Improving the accuracy of protein secondary structure prediction has been an important task in bioinformatics since it is not only the starting point in obtaining tertiary structure in hierarchical modeling but also enhances sequence analysis and sequence-structure threading to help determine st...

Computational prediction and characterisation of miRNAs and their pathway genes in human schistosomiasis caused by Schistosoma haematobium

Mem. Inst. Oswaldo Cruz; 115 (), 2020
BACKGROUND Key genes control the infectivity of the Schistosoma haematobium causing schistosomiasis. A method for understanding the regulation of these genes might help in developing new disease strategies to control schistosomiasis, such as the silencing mediated by microRNAs (miRNAs). The miRNAs have ...

Comparative Analysis of C-repeat Binding Factors (CBFs) in Tomato and Arabidopsis

Abstract Cold stress is one of the limiting factors of plant production that plants use different mechanisms for cold tolerance. CBF genes play critical role to regulate the cold responsive genes. To better understand of CBF gene functions, the tomato-CBFs and Arabidopsis-CBFs were evaluated using bioinf...

In Silico Characterization of Meloidogyne Genus Nematode Cellulose Binding Proteins

Abstract Root-knot nematodes are a group of endoparasites species that induce the formation of giant cells in the hosts, by which they guarantee their feeding and development. Meloidogyne species infect over 2000 plant species, and are highly destructive, causing damage to many crops around the world. M....

Improved reverse transcription-polymerase chain reaction assay for the detection of flaviviruses with semi-nested primers for discrimination between dengue virus serotypes and Zika virus

Mem. Inst. Oswaldo Cruz; 113 (5), 2018
BACKGROUND The genus Flavivirus includes a variety of medically important viruses, including dengue virus (DENV) and Zika virus (ZIKV), which are most prevalent in Brazil. Because the clinical profile of patients affected by different DENV serotypes or ZIKV may be similar, the development of new methods...

Bioinformatics analysis of microarray data to reveal the pathogenesis of diffuse intrinsic pontine glioma

Biol. Res; 51 (), 2018
BACKGROUND: Diffuse intrinsic pontine glioma (DIPG) is the main cause of pediatric brain tumor death. This study was designed to identify key genes associated with DIPG. METHODS: The gene expression profile GSE50021, which consisted of 35 pediatric DIPG samples and 10 normal brain samples, was downloaded...

Studying Protein kinases PKCζ and PKMζ with the Resonant Recognition Model. Implications for the study of Memory Mechanisms

PKMζ is a brain-specific protein kinase that has been suggested as playing a key role in memory consolidation mechanisms. It is identical to catalytic portion of another protein kinase, PKMζ;. Lacking the regulatory end, PKMζ; is several times more active than PKMζ;. However, knowledge about PKMζ; m...