Identification of a novel bacterium in high caries risk adolescence: A metagenomic and melt curve analysis.

Background: which comprise only 2% have long been presumed to be the specific pathogen responsible for caries. A novel caries associated bacterium namely is recognized to be ecologically competitive in active caries lesions. The actual pathogen needs to be identified, so as to specifically target and reduce the prevalence of caries in a given community.

Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier.

Medical data classification is a prime data mining problem being discussed about for a decade that has attracted several researchers around the world. Most classifiers are designed so as to learn from the data itself using a training process, because complete expert knowledge to determine classifier parameters is impracticable. This paper proposes a hybrid methodology based on machine learning paradigm.

An unexpected absence of queuosine modification in the tRNAs of an Escherichia coli B strain.

The post-transcriptional processing of tRNAs decorates them with a number of modified bases important for their biological functions. Queuosine, found in the tRNAs with GUN anticodons (Asp, Asn, His, Tyr), is an extensively modified base whose biosynthetic pathway is still unclear. In this study, it was observed that the tRNA(Tyr) from Escherichia coli B105 (a B strain) migrated faster than that from E.