Exploring novel mechanistic insights in Alzheimer's disease by assessing reliability of protein interactions.

ABSTRACT: Protein interaction networks are widely used in computational biology as a graphical means of representing higher-level systemic functions in a computable form. Although, many algorithms exist that seamlessly collect and measure protein interaction information in network models, they often do not provide novel mechanistic insights using quantitative criteria. Measuring information content and knowledge representation in network models about disease mechanisms becomes crucial particularly when exploring new target candidates in a well-defined functional context of a potential disease mechanism. To this end, we have developed a knowledge-based scoring approach that uses literature-derived protein interaction features to quantify protein interaction confidence. Thereby, we introduce the novel

SUBMITTER: Malhotra A 

PROVIDER: S-EPMC4562155 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature