A System for Discovering Bioengineered Threats by Knowledge Base Driven Mining of Toxin Data
Abstract
This project was funded to establish a Toxin Knowledge Base (TKB) which will encompass information about bacterial toxins in general and toxins relevant to biodefense, in particular. The overall goal of this project is to establish an easy to use database viz. a Knowledge Base to populate itself and expand using machine learning techniques, to make it more dynamic. It is designed to be a bioinformatics resource focused on molecular information about toxins and other virulence factors that are the natural products of biological and potential biological warfare (BW and PBW) agents. The major aim was to mine, assimilate, synthesize, analyze and disseminate genomic and structural information on BW and PBW genes and their products. Using advanced machine learning and data mining the TKB has been developed to look for motifs, to design new experiments and also to predict structure and function of molecules (including putative chimeras) for which these data are not available. TKB will use innovative computer methods to parse the literature available in public resources (web sites) to identify new and emerging toxins to be included in the database.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2006
- Accession Number
- ADA460425
Entities
People
- S. Swaminathan
Organizations
- Brookhaven National Laboratory