The structure and function of dietary proteins, as well as their subcellular prediction, are
critical for designing and developing new drug compositions and understanding the …

Essential proteins are assumed to be an indispensable element in sustaining normal
physiological function and crucial to drug design and disease diagnosis. The discovery of …

Hubs are generally defined as nodes with a high degree centrality, and they are important
for maintaining the stability of complex networks. Previous studies have shown that hub …

Background A major current focus in the analysis of protein–protein interaction (PPI) data is
how to identify essential proteins. As massive PPI data are available, this warrants the …

Identifying key proteins from protein-protein interaction (PPI) networks is one of the most
fundamental and important tasks for computational biologists. However, the protein …

Constructing dynamic protein interaction networks (DPIN) is a common way to improve
identification accuracy of essential proteins. The existing methods usually aggregate DPIN …

In recent years a number of calculative models based on protein-protein interaction (PPI)
networks have been proposed successively. However, due to false positives, false …

In recent years, due to low accuracy and high costs of traditional biological experiments,
more and more computational models have been proposed successively to infer potential …

Background The identification of essential proteins is of great significance in biology and
pathology. However, protein–protein interaction (PPI) data obtained through high …

Essential proteins play a vital role in development and reproduction of cells. The
identification of essential proteins helps to understand the basic survival of cells. Due to time …