Protein–protein interactions (PPIs) are essential in the regulation of biological functions and
cell events, therefore understanding PPIs have become a key issue to understanding the …

Because translating the growing body of knowledge about human disease into treatments
has been slower than expected, the application of machine learning techniques to drug …

Protein–protein interactions (PPIs) are a major component of the cellular biochemical
reaction network. Rich sequence information and machine learning techniques reduce the …

Background Protein-protein interaction (PPI) is very important for many biochemical
processes. Therefore, accurate prediction of PPI can help us better understand the role of …

At the heart of the cellular machinery through the regulation of cellular functions, protein–
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …

Background: In recent years, herbs have become very popular worldwide as a form of
complementary and alternative medicine (CAM). However, there are many types of herbs …

Exploring the associations between microRNAs (miRNAs) and diseases can identify
potential disease features. Prediction of miRNA‐skin cancer associations has become an …

The primary concern with exposure to ionizing radiation is the risk of developing diseases.
While high doses of radiation can cause immediate damage leading to cancer, the effects of …

Next-generation sequencing technology has propelled the field of biology into the big data
era, and continual advancements in computing have now made it easier to explore complex …

Numerous computational methods have been proposed to predict protein-protein
interactions, none of which however, considers the original DNA loci of the interacting …