Ontology-based instance data validation for high-quality curated biological pathways.

ABSTRACT:

Background

Modeling in systems biology is vital for understanding the complexity of biological systems across scales and predicting system-level behaviors. To obtain high-quality pathway databases, it is essential to improve the efficiency of model validation and model update based on appropriate feedback.

Results

We have developed a new method to guide creating novel high-quality biological pathways, using a rule-based validation. Rules are defined to correct models against biological semantics and improve models for dynamic simulation. In this work, we have defined 40 rules which constrain event-specific participants and the related features and adding missing processes based on biological events. This approach is applied to data in Cell System Ontology which is a comprehe

SUBMITTER: Jeong E 

PROVIDER: S-EPMC3044316 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature