Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …

Background and scope Nowadays, centrality analysis has become a principal method for
identifying essential proteins in biological networks. Here we present CytoNCA, a Cytoscape …

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

Genes that are thought to be critical for the survival of organisms or cells are called essential
genes. The prediction of essential genes and their products (essential proteins) is of great …

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 …

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

With great theoretical and practical significance, locating influential nodes of complex
networks is a promising issue. In this paper, we present a dynamics-sensitive (DS) centrality …

Drugs bind to their target proteins, which interact with downstream effectors and ultimately
perturb the transcriptome of a cancer cell. These perturbations reveal information about their …

Computational methods including centrality and machine learning-based methods have
been proposed to identify essential proteins for understanding the minimum requirements of …