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Bacterial Proteins

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Enhanced Fermentable Sugar Production from Enteromorpha Polysaccharides by the Crude Enzymes of Vibrio sp. H11.

Journal of molecular microbiology and biotechnology
In recent years, large-scale outbreaks of the green alga Enteromorpha prolifera in China's offshore waters have posed a serious threat. This study aimed to improve Enteromorpha polysaccharide (EP) enzymatic sugar production using the hydrolase system...

High-level expression of Thermobifida fusca glucose isomerase for high fructose corn syrup biosynthesis.

Enzyme and microbial technology
Glucose isomerase (GIase), an efficient enzyme in the isomerization of d-glucose to d-fructose, has been widely used in food processing. In this study, an efficient expression system for a Thermobifida fusca GIase (GIase) in Escherichia coli was firs...

PSO-LocBact: A Consensus Method for Optimizing Multiple Classifier Results for Predicting the Subcellular Localization of Bacterial Proteins.

BioMed research international
Several computational approaches for predicting subcellular localization have been developed and proposed. These approaches provide diverse performance because of their different combinations of protein features, training datasets, training strategie...

Prediction of essential genes in prokaryote based on artificial neural network.

Genes & genomics
BACKGROUND: Rapid identification of new essential genes is necessary to understand biological mechanisms and identify potential targets for antimicrobial drugs. Many computational methods have been proposed.

Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction.

Artificial intelligence in medicine
The ability of multitask learning promulgated its sovereignty in the machine learning field with the diversified application including but not limited to bioinformatics and pattern recognition. Bioinformatics provides a wide range of applications for...

Molecular mechanisms of antibiotic co-resistance among carbapenem resistant Acinetobacter baumannii.

Journal of infection in developing countries
INTRODUCTION: The spread of carbapenem-resistant Acinetobacter baumannii (CRAB) is difficult to control especially in the hospitals due to the successful mobilization and evolution of the genetic elements harboring the resistant determinants. The stu...

A deep learning ensemble for function prediction of hypothetical proteins from pathogenic bacterial species.

Computational biology and chemistry
Protein function prediction is a crucial task in the post-genomics era due to their diverse irreplaceable roles in a biological system. Traditional methods involved cost-intensive and time-consuming molecular biology techniques but they proved to be ...

Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning.

Molecular & cellular proteomics : MCP
Fast identification of microbial species in clinical samples is essential to provide an appropriate antibiotherapy to the patient and reduce the prescription of broad-spectrum antimicrobials leading to antibioresistances. MALDI-TOF-MS technology has ...

Use of high-content analysis and machine learning to characterize complex microbial samples via morphological analysis.

PloS one
High Content Analysis (HCA) has become a cornerstone of cellular analysis within the drug discovery industry. To expand the capabilities of HCA, we have applied the same analysis methods, validated in numerous mammalian cell models, to microbiology m...

SecProMTB: Support Vector Machine-Based Classifier for Secretory Proteins Using Imbalanced Data Sets Applied to Mycobacterium tuberculosis.

Proteomics
Secretory proteins of Mycobacterium tuberculosis have created more concern, given their dominant immunogenicity and role in pathogenesis. In view of expensive and time-consuming traditional biochemical experiments, an advanced support vector machine ...