Microorganisms are ubiquitous and closely related to people's daily lives. Since they were
first discovered in the 19th century, researchers have shown great interest in …

Conventional supervised binary classification algorithms have been widely applied to
address significant research questions using biological and biomedical data. This …

As the first web server to analyze various biological sequences at sequence level based on
machine learning approaches, many powerful predictors in the field of computational …

With the avalanche of biological sequences generated in the post-genomic age, one of the
most challenging problems is how to computationally analyze their structures and functions …

Motivation Related to many important biological functions, intrinsically disordered regions
(IDRs) are widely distributed in proteins. Accurate prediction of IDRs is critical for the protein …

As the key for biological sequence structure and function prediction, disease diagnosis and
treatment, biological sequence similarity analysis has attracted more and more attentions …

Protein fold recognition is critical for studying the structures and functions of proteins. The
existing protein fold recognition approaches failed to efficiently calculate the pairwise …

PubMed is a free search engine for biomedical literature accessed by millions of users from
around the world each day. With the rapid growth of biomedical literature—about two articles …

Motivation Drug–target interaction prediction plays an important role in new drug discovery
and drug repurposing. Binding affinity indicates the strength of drug–target interactions …

Background: The location of proteins in a cell can provide important clues to their functions
in various biological processes. Thus, the application of machine learning method in the …