An automated model annotation system (AMAS) for SBML models.

ABSTRACT:

Motivation

Annotations of biochemical models provide details of chemical species, documentation of chemical reactions, and other essential information. Unfortunately, the vast majority of biochemical models have few, if any, annotations, or the annotations provide insufficient detail to understand the limitations of the model. The quality and quantity of annotations can be improved by developing tools that recommend annotations. For example, recommender tools have been developed for annotations of genes. Although annotating genes is conceptually similar to annotating biochemical models, there are important technical differences that make it difficult to directly apply this prior work.

Results

We present AMAS, a system that predicts annotations for elements of models represen

SUBMITTER: Shin W 

PROVIDER: S-EPMC10628433 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature