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Bacterial Proteins

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The influence of vitamin D deficiency on eradication rates of Helicobacter pylori.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University
BACKGROUND: Helicobacter pylori eradication therapy improves the healing of various gastro-duodenal diseases such as chronic gastritis and peptic ulcer, and also reduces gastric cancer incidence. Several studies have reported on risk factors other th...

Machine learning-, rule- and pharmacophore-based classification on the inhibition of P-glycoprotein and NorA.

SAR and QSAR in environmental research
The efflux pumps P-glycoprotein (P-gp) in humans and NorA in Staphylococcus aureus are of great interest for medicinal chemists because of their important roles in multidrug resistance (MDR). The high polyspecificity as well as the unavailability of ...

Molecular Evaluation of High Fluoroquinolone Resistant Genes in Endemic Cases of Shigellosis, Northeast Part of Karnataka, India.

Annals of global health
OBJECTIVES: Shigellosis is an acute infection of the intestine caused by bacteria in the genus Shigella and also an important cause of diarrhea in developing countries. This study was carried out to find the extent and nature of the emerging resistan...

[Characterization of β-1, 4-mannanase from Bacillus pumilus and heterologous expression in Lactobacillus casei].

Wei sheng wu xue bao = Acta microbiologica Sinica
OBJECTIVE: Lactobacillus casei is widely used in food production and feed industry. The aim of this study was to construct the recombinant expression mannanase Lb. casei.

[Cloning, expression, and purification of c-di-AMP metabolism-related genes from Porphyromonas gingivalis].

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology
OBJECTIVE: To clone, express, and purify cyclic diadenosine monophosphate (c-di-AMP) metabolism-related genes from Porphyromonas gingivalis (P. gingivalis) ATCC33277.

Meta-learning framework applied in bioinformatics inference system design.

International journal of data mining and bioinformatics
This paper describes a meta-learner inference system development framework which is applied and tested in the implementation of bioinformatic inference systems. These inference systems are used for the systematic classification of the best candidates...