Danator is an integrated database of molecular data designed to facilitate integrative analysis of multiple cellular subsystems. To help investigators overcome the lack of complete data about every molecule and reaction in every organism, Datanator includes tools for building “clouds” of data that include data about chemically similar molecules and reactions in phylogenetically similar organisms.

Datanator is a free and open toolkit for discovering the data needed to build, calibrate, and validate mechanistic models of cells. Datanator is composed of an integrated database of genomic and biochemical data, this web application for identifying relevant data for modeling a specific organism in a specific environmental condition, and a REST API for programmatically discovering data for large models such as whole-cell models.

Datanator was developed by the Karr Lab at the Icahn School of Medicine at Mount Sinai in New York, US.

Datanator was developed with support from the Center for Reproducible Biomedical Modeling from the National Institute of Bioimaging and Bioengineering and the National Institute of General Medical Sciences of the National Institutes of Health and the National Science Foundation (awards P41EB023912 and R35GM119771).