Protein-protein interactions (PPIs) play key roles in a broad range of biological processes.
The disorder of PPIs often causes various physical and mental diseases, which makes PPIs …

Protein–protein interactions (PPIs) are important for the study of protein functions and
pathways involved in different biological processes, as well as for understanding the cause …

Modern biology has experienced an increased use of machine learning techniques for large
scale and complex biological data analysis. In the area of Bioinformatics, the Random Forest …

Abstract In the Life Sciences 'omics' data is increasingly generated by different high-
throughput technologies. Often only the integration of these data allows uncovering …

Identifying the interaction between drugs and target proteins is an important area of drug
research, which provides a broad prospect for low-risk and faster drug development …

Classification problem for imbalanced datasets is pervasive in a lot of data mining domains.
Imbalanced classification has been a hot topic in the academic community. From data level …

Motivation: The limited availability of protein structures often restricts the functional
annotation of proteins and the identification of their protein–protein interaction sites …

Motivation Proteins usually perform their functions by interacting with other proteins, which is
why accurately predicting protein–protein interaction (PPI) binding sites is a fundamental …

Motivation Accurate predictions of protein-binding residues (PBRs) enhances understanding
of molecular-level rules governing protein–protein interactions, helps protein–protein …

Knowledge of protein-protein interactions and their binding sites is indispensable for in-
depth understanding of the networks in living cells. With the avalanche of protein sequences …