Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels.

ABSTRACT:

Background

Proteins interact through specific binding interfaces that contain many residues in domains. Protein interactions thus occur on three different levels of a concept hierarchy: whole-proteins, domains, and residues. Each level offers a distinct and complementary set of features for computationally predicting interactions, including functional genomic features of whole proteins, evolutionary features of domain families and physical-chemical features of individual residues. The predictions at each level could benefit from using the features at all three levels. However, it is not trivial as the features are provided at different granularity.

Results

To link up the predictions at the three levels, we propose a multi-level machine-learning framework that allows for expl

SUBMITTER: Yip KY 

PROVIDER: S-EPMC2734556 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature