Informatics Applications to Risk Assessment

Informatics methods have been widely used for analyses of large-scale biological data, including genomic sequence data, gene/protein expression data, phenotypic data, etc to understand complex molecular biology phenomena. Informatics analyses can help to discover statistically significant patterns and signals hidden in large quantity and unstructured data set, and predict important correlationships among different subsets of data and causality relationships. Such analyses can be used to detect the most relevant factors, among the available data, to the causation of a particular human disease.

Informatics application works relevant to human health and environment cleanup include

1. Structure and function predictions of proteins relevant to bioremidiation
2. Structure and function predictions of protein relevant to DNA repair caused by low-dose radiation
3. Structure and function predictions of protein relevant to Alzheimer disease
4. Prediction of regulatory and metabolic pathways relevant to metal reduction in the environment

For additional information see Protein Informatics Group Web site or contact:

Ying Xu
Oak Ridge National Laboratory
1060 Commerce Park Dive
Oak Ridge, TN 37830
phone: (865) 574-7263
fax: (865) 241-1965
email: xyn@ornl.gov [top]