The recent advances in the prediction of intrinsically disordered proteins and the use of
protein disorder prediction in the fields of molecular biology and bioinformatics are reviewed …

Almost all of the 200 or so approved biopharmaceuticals have been produced in one of
three host systems: the bacterium Escherichia coli, yeasts (Saccharomyces cerevisiae …

With the development of clinical technologies, different tumor features have been collected
for breast cancer diagnosis. Filtering all the pertinent feature information to support the …

Motivation: Protein insolubility is a major obstacle for many experimental studies. A
sequence-based prediction method able to accurately predict the propensity of a protein to …

Motivation: Discovery of novel protective antigens is fundamental to the development of
vaccines for existing and emerging pathogens. Most computational methods for predicting …

Many fields of science and industry depend on efficient production of active protein using
heterologous expression in Escherichia coli. The solubility of proteins upon expression is …

Abnormal network traffic analysis has become an increasingly important research topic to
protect computing infrastructures from intruders. Yet, it is challenging to accurately discover …

To overcome the two-class imbalanced classification problem existing in the diagnosis of
breast cancer, a hybrid of Random Over Sampling Example, K-means and Support vector …

Cytologic screening has been widely used for detecting the cervical cancers. In this study, a
semiautomatic PC-based cellular image analysis system was developed for segmenting …

Motivation: Obtaining soluble proteins in sufficient concentrations is a recurring limiting
factor in various experimental studies. Solubility is an individual trait of proteins which, under …