Human protein-protein interaction prediction
نویسندگان
چکیده
منابع مشابه
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...
متن کاملPIPs: human protein–protein interaction prediction database
The PIPs database (http://www.compbio.dundee.ac.uk/www-pips) is a resource for studying protein-protein interactions in human. It contains predictions of >37,000 high probability interactions of which >34,000 are not reported in the interaction databases HPRD, BIND, DIP or OPHID. The interactions in PIPs were calculated by a Bayesian method that combines information from expression, orthology, ...
متن کاملProtein Interaction Networks: Protein Domain Interaction and Protein Function Prediction
Most of a cell’s functional processes involve interactions among proteins, and a key challenge in proteomics is to better understand these complex interaction graphs at a systems level. Because of their importance in development and disease, protein-protein interactions (PPIs) have been the subject of intense research in recent years. In addition, a greater understanding of PPIs can be achieved...
متن کاملComputational Methods for Protein-Protein Interaction Prediction
Protein-protein interactions (PPI) occur at almost every level of cell functions. The identification of interactions among proteins provides a global picture of cellular functions and biological processes. It is also an essential step in the construction of PPI networks for human and other organisms. PPI prediction has been considered to be a promising alternative to the traditional drug design...
متن کاملPrediction of Coffee Effects in Rats with Healthy and NAFLD Conditions Based on Protein-Protein Interaction Network Analysis
Background and objectives: Non-alcoholic fatty liver disease (NAFLD) is a common liver condition. On the other hand, coffee consumption has shown promising for gastrointestinal diseases. Detection of the most valuable biomarkers of decaffeinated coffee treatment in healthy and non-alcoholic fatty liver disease conditions was the aim of the present study. Methods:</stro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2010
ISSN: 1471-2105
DOI: 10.1186/1471-2105-11-s10-p1