Infectious Disease

Antifungal activity of Momordica charantia seed extracts toward the pathogenic fungus Fusarium solani L.

Momordica charantia L., a vegetable crop with high nutritional value, has been used as an antimutagenic, antihelminthic, anticancer, antifertility, and antidiabetic agent in traditional folk medicine. In this study, the antifungal activity of M. charantia seed extract toward Fusarium solani L. was evaluated. Results showed that M. charantia seed extract effectively inhibited the mycelial growth of...

evaluation of the effects of some plant essential oils on , the causative agent of Chalkbrood disease.

is one of the major fungal pathogens of honey bee broods and the causative agent of Chalkbrood disease. The factors responsible for the pathogenesis of Chalkbrood disease are still not fully understood, and the increasing resistance of to commonly used antifungal agents necessitates a search for new agents to control this disease. The antifungal activities of 27 plant essential oils against two...

Quantitative determination of AI-2 quorum-sensing signal of bacteria using high performance liquid chromatography-tandem mass spectrometry.

Autoinducer 2 (AI-2), an important bioactive by-product of the LuxS-catalyzed S-ribosylhomocysteine cleavage reaction in the activated-methyl-cycle, h...

Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative Complications.

OBJECTIVE: To compare performance of risk prediction models for forecasting postoperative sepsis and acute kidney injury.

Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences.

We propose a novel computational method known as RVM-LPQ that combines the Relevance Vector Machine (RVM) model and Local Phase Quantization (LPQ) to ...

An Imbalanced Learning based MDR-TB Early Warning System.

As a man-made disease, multidrug-resistant tuberculosis (MDR-TB) is mainly caused by improper treatment programs and poor patient supervision, most of...

Toward High-Throughput Predictive Modeling of Protein Binding/Unbinding Kinetics.

One of the unaddressed challenges in drug discovery is that drug potency determined in vitro is not a reliable indicator of drug activity in vivo. Acc...

THE EVALUATION OF DOMESTIC DUCKS AS POTENTIAL RESERVOIR OF AVIAN INFLUENZA VIRUS IN POST HPAI H5N1 OUTBREAK AREA, SUNYANI MUNICIPALITY, BRONG AHAFO REGION OF GHANA.

BACKGROUND: Avian influenza (AI) is an important zoonotic disease responsible for significant losses in most sub-Saharan countries. However, the role ...

Detecting borderline infection in an automated monitoring system for healthcare-associated infection using fuzzy logic.

BACKGROUND: Many electronic infection detection systems employ dichotomous classification methods, classifying patient data as pathological or normal ...

Adsorptive removal of antibiotics from water using magnetic ion exchange resin.

The occurrence of antibiotics in the environment has recently raised serious concern regarding their potential threat to aquatic ecosystem and human h...

Protein-protein interaction inference based on semantic similarity of Gene Ontology terms.

Identifying protein-protein interactions is important in molecular biology. Experimental methods to this issue have their limitations, and computation...

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.

The segmentation of liver tumours in CT images is useful for the diagnosis and treatment of liver cancer. Furthermore, an accurate assessment of tumou...

Comparison of Boiling and Robotics Automation Method in DNA Extraction for Metagenomic Sequencing of Human Oral Microbes.

The rapid improvement of next-generation sequencing performance now enables us to analyze huge sample sets with more than ten thousand specimens. Howe...

g:Profiler-a web server for functional interpretation of gene lists (2016 update).

Functional enrichment analysis is a key step in interpreting gene lists discovered in diverse high-throughput experiments. g:Profiler studies flat and...

Identifying targets of selection in mosaic genomes with machine learning: applications in Anopheles gambiae for detecting sites within locally adapted chromosomal inversions.

Chromosomal inversions are important structural changes that may facilitate divergent selection when they capture co-adaptive loci in the face of gene...

Incorporation of negative rules and evolution of a fuzzy controller for yeast fermentation process.

The control of bioprocesses can be very challenging due to the fact that these kinds of processes are highly affected by various sources of uncertaint...

Expression of rabies virus glycoprotein in the methylotrophic yeast Pichia pastoris.

Rabies is a fatal disease that can be prevented by vaccination. Different approaches were investigated to develop novel human rabies vaccines with imp...

Investigation of the mutagenic and genotoxic activities of LLL-3, a STAT3 inhibitor.

LLL-3, an anthracene derived compound, has been shown to be a promising therapeutic agent for the treatment of some kinds of cancer such as chronic my...

Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil.

Pulmonary tuberculosis (PTB) remains a worldwide public health problem. Diagnostic algorithms to identify the best combination of diagnostic tests for...

Translational informatics approach for identifying the functional molecular communicators linking coronary artery disease, infection and inflammation.

Translational informatics approaches are required for the integration of diverse and accumulating data to enable the administration of effective trans...