The identification of protein-protein interactions is vital for understanding protein function, elucidating interaction mechanisms, and for practical applications in drug discovery. With the exponentially growing protein sequence data, fully automated computational methods that predict interactions between proteins are becoming essential components of system-level function inference. A thorough...

Nao Tai Fang (NTF) is modified from Buyang Huanwu Decoction. Modern pharmacological research showed that NTF has a good anti-cerebral ischemic effect and can improve the learning memory ability of cerebrovascular disease. The purpose this study to explore regulation mechanism on vascular dementia (VD)'s biological network based chemoinformatics transcriptomics strategies. First, bilateral commo...

In the decade since the human genome project, a major research trend in biology has been towards understanding the cell as a system. This interest has stemmed partly from a deeper appreciation of how important it is to understand the emergent properties of cellular systems (e.g., they seem to be the key to understanding diseases like cancer). It has also been enabled by new high-throughput tech...

Empirical study of networks has enlightened our understanding of many application domains including the topology of biological systems. The Markov clustering algorithm (MCL), originally developed for clustering graphs, has been adopted to clustering protein-protein interaction (PPI) networks. MCL is also becoming an effective algorithm for the extraction of complexes from interaction networks. ...

UNLABELLED Cellular processes are regulated by interaction of various proteins i.e. multiprotein complexes and absences of these interactions are often the cause of disorder or disease. Such type of protein interactions are of great interest for drug designing. In host-parasite diseases like Tuberculosis, non-homologous proteins as drug target are first preference. Most potent drug target can b...

The fungal pathogen Fusarium graminearum (telomorph Gibberella zeae) is the causal agent of several destructive crop diseases. Identifying interactions among F. graminearum proteins and understanding their functions can provide insights into pathogenic mechanisms underlying F. graminearum-host interactions. F. graminearum protein-protein interaction (FPPI) database provides comprehensive inform...

ABSTRACTIntroduction: Cancer is caused by genetic abnormalities, such as mutation of ontogenesis or tumor suppressor genes which alter downstream signaling pathways and protein-protein interactions. Comparison of protein interactions in cancerous and normal cells can be of help in mechanisms of disease diagnoses and treatments. Methods: We constructed protein interaction networks of cancerous a...

It has been shown that protein-protein interactions analysis may be useful to infer information about biological variations caused by evolution. All the known protein-protein interactions of a given organism may be modelled by a network, namely, the protein-protein interaction (PPI) network of that organism, stored in a graph database. The analysis and comparison of protein-protein interaction ...

BACKGROUND A goal of systems biology is to analyze large-scale molecular networks including gene expressions and protein-protein interactions, revealing the relationships between network structures and their biological functions. Dividing a protein-protein interaction (PPI) network into naturally grouped parts is an essential way to investigate the relationship between topology of networks and ...

In recent work, stable evolutionary signal induced by orthologous proteins has been observed in a Yeast protein-protein interaction (PPI) network. This finding suggests more connected subgraphs of a PPI network to be potential mediators of evolutionary information. Because protein complexes are also likely to be present in such subgraphs, it is interesting to characterize the bias of the orthol...