Background Systems biology is an important field for understanding whole biological
mechanisms composed of interactions between biological components. One approach for …

Finding relations between genes and diseases is essential in developing a clinical
diagnosis, treatment, and drug design for diseases. One successful approach for mining the …

Text mining is widely used within the life sciences as an evidence stream for inferring
relationships between biological entities. In most cases, conventional string matching is …

Background Text mining is increasingly used in the biomedical domain because of its ability
to automatically gather information from large amount of scientific articles. One important …

Agglomerating results from studies of individual biological components has shown the
potential to produce biomedical discovery and the promise of therapeutic development …

Many new molecular mechanisms of genomics, pharmacogenomics, immunology, and other
fields are reflected in pathway figures and need to be curated for various applications …

Successful biomedical relation extraction can provide evidence to researchers and
clinicians about possible unknown associations between biomedical entities, advancing the …

Background Text mining tools have gained popularity to process the vast amount of
available research articles in the biomedical literature. It is crucial that such tools extract …

The knowledge on protein–protein interactions (PPI) and their related pathways are equally
important to understand the biological functions of the living cell. Such information on human …

Extracting biological interactions from published literature helps us understand complex
biological systems, accelerate research, and support decision-making in drug or treatment …