A novel biclustering approach to association rule mining for predicting HIV-1-human protein interactions.

ABSTRACT: Identification of potential viral-host protein interactions is a vital and useful approach towards development of new drugs targeting those interactions. In recent days, computational tools are being utilized for predicting viral-host interactions. Recently a database containing records of experimentally validated interactions between a set of HIV-1 proteins and a set of human proteins has been published. The problem of predicting new interactions based on this database is usually posed as a classification problem. However, posing the problem as a classification one suffers from the lack of biologically validated negative interactions. Therefore it will be beneficial to use the existing database for predicting new viral-host interactions without the need of negative samples. Motivated by t

SUBMITTER: Mukhopadhyay A 

PROVIDER: S-EPMC3335119 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature