Protein structural class could provide important clues for understanding protein fold,
evolution and function. However, it is still a challenging problem to accurately predict protein …

Identifying B-cell epitopes play an important role in vaccine design, immunodiagnostic tests,
and antibody production. Therefore, computational tools for reliably predicting B-cell …

Identifying epitopes, or the segments of a protein that bind to antibodies, is critical for the
development of a variety of immunotherapeutics and diagnostics. In vaccine design, the …

Discovering a three dimensional structure of a protein is a challenging task in biological
science. Classifying a protein into one of its folds is an intermediate step for deciphering the …

Bayesian network is an increasingly popular method in modeling uncertain and complex
problems, because its interpretability is often more useful than plain prediction. To satisfy the …

The emergence of numerous genome projects has made the experimental classification of
the protein localization almost impossible due to the exponential increase in the number of …

The pharmaceutical industry is almost boundless in its ability to supply new drug therapies,
but how does one decide which are the best medicines to use within restricted budgets …

We have implemented a naïve Bayesian classifier which models continuous numerical data
using a Gaussian distribution. Several cases of interest in the area of absorption …

In biological sciences, the deciphering of a three dimensional structure of a protein
sequence is considered to be an important and challenging task. The identification of protein …

Objective The objective of this study is to discuss and analyze the use of automated
SNOMED CT clinical coding in clinical decision support systems (CDSSs) for preventive …