Protein–protein interactions (PPIs) participate in all important biological processes in living
organisms, such as catalyzing metabolic reactions, DNA replication, DNA transcription …

Protein–protein interactions (PPIs) represent an essential aspect of plant systems biology.
Identification of key protein players and their interaction networks provide crucial insights …

Everything is connected and thus networks are instrumental in not only modeling complex
systems with many components, but also accommodating knowledge about their …

Essential proteins are vital for an organism's viability under a variety of conditions. There are
many experimental and computational methods developed to identify essential proteins …

Cluster analysis of biological networks is one of the most important approaches for
identifying functional modules and predicting protein functions. Furthermore, visualization of …

In the-omics era, bioinformatics technologies allowed the development of several
approaches useful to analyze biological systems. To provide a deep insight into a biological …

Graph pre-training strategies have been attracting a surge of attention in the graph mining
community, due to their flexibility in parameterizing graph neural networks (GNNs) without …

Markov clustering (MCL) is a commonly used algorithm for clustering networks in
bioinformatics. It shows good performance in clustering dynamic protein–protein interaction …

Network medicine can advance current medical practice by arising as response to the
limitations of a reductionist approach focusing on cardiovascular (CV) diseases as a direct …

Prediction of essential proteins which are crucial to an organism's survival is important for
disease analysis and drug design, as well as the understanding of cellular life. The majority …