Protein-protein interaction (PPI) networks are essential to understand the fundamental processes governing cell biology. Recently, studying PPI networks becomes possible due to advances in experimental high-throughput genomics and proteomics technologies. Many interactions from such high-throughput studies and most interactions from small-scale studies are reported only in the scientific litera...

MOTIVATION Understanding principles of cellular organization and function can be enhanced if we detect known and predict still undiscovered protein complexes within the cell's protein-protein interaction (PPI) network. Such predictions may be used as an inexpensive tool to direct biological experiments. The increasing amount of available PPI data necessitates an accurate and scalable approach t...

Protein-protein interaction (PPI) networks, providing a comprehensive landscape of protein interacting patterns, enable us to explore biological processes and cellular components at multiple resolutions. For a biological process, a number of proteins need to work together to perform the job. Proteins densely interact with each other, forming large molecular machines or cellular building blocks....

Many complex networks such as computer and social networks exhibit modular structures, where links between nodes are much denser within modules than between modules. It is widely believed that cellular networks are also modular, reflecting the relative independence and coherence of different functional units in a cell. While many authors have claimed that observations from the yeast protein-pro...

MOTIVATION Protein interaction networks contain a wealth of biological information, but their large size often hinders cross-organism comparisons. We present OrthoNets, a Cytoscape plugin that displays protein-protein interaction (PPI) networks from two organisms simultaneously, highlighting orthology relationships and aggregating several types of biomedical annotations. OrthoNets also allows P...

Network medicine, the field of using biological networks to develop insight into disease and medicine, is a budding area of research where current efforts have been rewarded with only a middling level of success. Various network models have been proposed to help advise and direct medical research; this paper explores the possible utility of the ”interaction-interaction” (II) network model by ad...

BACKGROUND This work aimed to identify altered pathways in congenital heart defects (CHD) in Down syndrome (DS) by systematically tracking the dysregulated modules of reweighted protein-protein interaction (PPI) networks. MATERIAL AND METHODS We performed systematic identification and comparison of modules across normal and disease conditions by integrating PPI and gene-expression data. Based...

Protein-protein interaction (PPI) networks play an important role in studying the functional roles of proteins, including their association with diseases. However, protein interaction networks are not sufficient without the support of additional biological knowledge for proteins such as their molecular functions and biological processes. To complement and enrich PPI networks, we propose to expl...

The most common malignant neoplasm of the head and neck region is laryngeal cancerwhich presents a significant international health problem. The present study aims to screenpotential proteins related to laryngeal cancer by network analysis to further understandingdisease pathogenesis and biomarker discovery. Differentially expressed proteins were extractedfrom literatures of laryngeal cancer th...

Recent years have seen a growing trend towards the integration of multiple information sources to support large-scale prediction of protein-protein interaction (PPI) networks in model organisms. Despite advances in computational approaches, the combination of multiple “omic” datasets representing the same type of data, e.g. different gene expression datasets, has not been rigorously studied. Fu...