B-Net — A schema for representing detailed biochemical knowledge

B-Net is an open source database schema that allows for a rather detailed representation of biochemistry. The aims of B-Net are to represent knowledge with minimal human annotation, instead making use of the relational model to represent connections between biochemical entities. B-Net also provides means for annotating each biochemical entity and interaction with the type of evidence that led to that knowledge.

B-Net is being used as the database holding YeastNET, the consensus reconstruction of yeast metabolic network.

B-Net was developed from 2002-2009 by: Bharat Mehrotra, Xing Jing Li, Aejaaz Kamal, Olga Brazhnik, Stefan Hoops, Neil Swainston, and Pedro Mendes.

We have a detailed description of the B-Net Schema

Download B-Net: bnet_080709_noData.sql.gz (latest version). This is an SQL script that will create the database. This is for PostgreSQL, and it must be run by a user with administrator permissions.

This material is based upon work supported by the National Science Foundation under Grant No. 0109732. Any opinions findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.