SPINAL: scalable protein interaction network alignment
نویسندگان
چکیده
منابع مشابه
SPINAL: scalable protein interaction network alignment
MOTIVATION Given protein-protein interaction (PPI) networks of a pair of species, a pairwise global alignment corresponds to a one-to-one mapping between their proteins. Based on the presupposition that such a mapping provides pairs of functionally orthologous proteins accurately, the results of the alignment may then be used in comparative systems biology problems such as function prediction/v...
متن کاملProtein-Protein Interaction Network Alignment
Proteins are some of the building blocks of organisms. They usually perform their functions by interacting with each other and forming protein complexes. A protein-protein interaction network is a graph that consists of proteins as vertices and their interactions as edges. Protein-protein interaction network alignment is very important in identifying protein complexes and predicting protein fun...
متن کاملAlignment-free protein interaction network comparison
MOTIVATION Biological network comparison software largely relies on the concept of alignment where close matches between the nodes of two or more networks are sought. These node matches are based on sequence similarity and/or interaction patterns. However, because of the incomplete and error-prone datasets currently available, such methods have had limited success. Moreover, the results of netw...
متن کاملMolecular Architecture of Spinal Cord Injury Protein Interaction Network
Spinal cord injury (SCI) is associated with complex pathophysiological processes that follow the primary traumatic event and determine the extent of secondary damage and functional recovery. Numerous reports have used global and hypothesis-driven approaches to identify protein changes that contribute to the overall pathology of SCI in an effort to identify potential therapeutic interventions. I...
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: Bioinformatics
سال: 2013
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btt071