Year: 2008
Type: article
Abstract: NetGrep (http://genomics.princeton.edu/singhlab/netgrep/) is a system for searching protein interaction networks for matches to user-supplied 'network schemas'. Each schema consists of descriptions of proteins (for example, their molecular functions or putative domains) along with the desired topology and types of interactions among them. Schemas can thus describe domain-domain interactions, signaling and regulatory pathways, or more complex network patterns. NetGrep provides an advanced graphical interface for specifying schemas and fast algorithms for extracting their matches.
Source: Genome biology
Authors: Eric Banks, Elena Nabieva, Ryan Peterson, Mona Singh
Institutions: Princeton University, Cornell University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,490
Awards: Predicting and analyzing variation in cellular interactomes, G1890044234, G2557352603, Cellular Pathways of Oncogenesis, SGER: Algorithms for predicting protein function using interaction maps, Center for Quantitative Biology, PECASE: Computational Methods for Genome-Wide Prediction of Protein-Protein Interactions, G9000290534, Quantitative and Computational Biology Graduate Program
OpenAlex ID: W2097917188