AuthorsTheofilatos, Konstantinos A.
Dimitrakopoulos, Christos M.
Kleftogiannis, Dimitrios A.
Moschopoulos, Charalampos N.
Likothanassis, Spiridon D.
Mavroudi, Seferina P.
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
MetadataShow full item record
AbstractProteins and their interactions are considered to play a significant role in many cellular processes. The identification of Protein-Protein interactions (PPIs) in human is an open research area. Many Databases, which contain information about experimentally and computationally detected human PPIs as well as their corresponding annotation data, have been developed. However, these databases contain many false positive interactions, are partial and only a few of them incorporate data from various sources. To overcome these limitations, we have developed HINT-KB (http://126.96.36.199:84/Default.aspx) which is a knowledge base that integrates data from various sources, provides a user-friendly interface for their retrieval, estimates a set of features of interest and computes a confidence score for every candidate protein interaction using a modern computational hybrid methodology. © 2012 IFIP International Federation for Information Processing.
PublisherSpringer Science + Business Media
Conference/Event name8th International Workshop on Artificial Intelligence Applications and Innovations, AIAI 2012: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB