protein-protein interaction networks (ppi) and complex diseases

Authors

nahid safari-alighiarloo proteomics research center, faculty of paramedical sciences, shahid beheshti university of medical sciences, tehran, iran

mohammad taghizadeh bioinformatics department, institute of biochemistry and biophysics, tehran university, tehran, iran

mostafa rezaei-tavirani proteomics research center, faculty of paramedical sciences, shahid beheshti university of medical sciences, tehran, iran

bahram goliaei bioinformatics department, institute of biochemistry and biophysics, tehran university, tehran, iran

abstract

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 the physical interaction of proteins which lead to compiling them into large densely connected networks is a noticeable subject to investigation. protein interaction networks are useful because of making basic scientific abstraction and improving biological and biomedical applications. based on principle roles of proteins in biological function, their interactions determine molecular and cellular mechanisms, which control healthy and diseased states in organisms. therefore, such networks facilitate the understanding of pathogenic (and physiologic) mechanisms that trigger the onset and progression of diseases. consequently, this knowledge can be translated into effective diagnostic and therapeutic strategies. furthermore, the results of several studies have proved that the structure and dynamics of protein networks are disturbed in complex diseases such as cancer and autoimmune disorders. based on such relationship, a novel paradigm is suggested in order to confirm that the protein interaction networks can be the target of therapy for treatment of complex multi-genic diseases rather than individual molecules with disrespect the network.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Protein-protein interaction networks (PPI) and complex diseases

The physical interaction of proteins which lead to compiling them into large densely connected networks is a noticeable subject to investigation. Protein interaction networks are useful because of making basic scientific abstraction and improving biological and biomedical applications. Based on principle roles of proteins in biological function, their interactions determine molecular and cellul...

full text

Prediction of Protein Sub-Mitochondria Locations Using Protein Interaction Networks

Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...

full text

Construction and Analysis of Tissue-Specific Protein-Protein Interaction Networks in Humans

We have studied the changes in protein-protein interaction network of 38 different tissues of the human body. 123 gene expression samples from these tissues were used to construct human protein-protein interaction network. This network is then pruned using the gene expression samples of each tissue to construct different protein-protein interaction networks corresponding to different studied ti...

full text

Study of PKA binding sites in cAMP-signaling pathway using structural protein-protein interaction networks

Backgroud: Protein-protein interaction, plays a key role in signal transduction in signaling pathways. Different approaches are used for prediction of these interactions including experimental and computational approaches. In conventional node-edge protein-protein interaction networks, we can only see which proteins interact but ‘structural networks’ show us how these proteins inter...

full text

A Proposal for Graph Theoretic Analysis of Protein-Protein Interaction (PPI) Networks

Protein-Protein Interaction (PPI) networks are commonly represented as undirected graphs with nodes corresponding to proteins and unit-weight edges representing the interactions between two proteins. In an on-going research, we intend to improve the knowledge-base of PPI networks by conducting the following graph theoretic analysis studies: (i) We propose to take an intersection of the PPI netw...

full text

Multi-functional Protein Clustering in PPI Networks

Protein-Protein Interaction (PPI) networks contain valuable information for the isolation of groups of proteins that participate in the same biological function. Many proteins play different roles in the cell by taking part to several processes, but isolating the different processes in which a protein is involved is often a difficult task. In this paper we present a method based on a greedy loc...

full text

My Resources

Save resource for easier access later


Journal title:
gastroenterology and hepatology from bed to bench

جلد ۷، شماره ۱، صفحات ۲۰۱۴-۷

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023