About Molecular Biometry
What is Molecular Biometry?
The term "Biometry" has been used since early 20th century to refer to the development of statistical and mathematical methods applicable to data analysis problems in the biological sciences. R.A. Fisher defined Biometry in 1947 as "the active pursuit of biological knowledge by quantitative methods." Molecular Biometry is simply Biometry operating at the molecular level, and it determines the state of an organism or a cell based on molecular profiling. Molecular profiling utilizes quantitative information coming from a large number of molecular sources. As an example, RNA microarrays provide expression levels of thousands of genes at once. Another example is proteomics data containing information on the expression level, sequence and posttranslational modifications of hundreds and thousands of proteins.
What is Medicinal Proteomics?
Medicinal Proteomics is a branch of Molecular Biometry that studies proteomes with the goal of advancing medical research. Since proteomics data are obtained in a high-throughput manner (hundreds of proteins per hour), proteomics data analysis also calls for high-volume processing. The most advanced form of such processing is Pathway Analysis using Systems Biology approaches. Our group has pioneered the use of a novel tool, Pathway Search Engine, for processing expression proteomics data and converting them into the activation levels of signaling pathways. The final goal of pathway analysis is to build a quantitative predictive model of a disease to facilitate its diagnosis and cure.