An Application of Linked Open Data in Proteomics

Abstract

In research of drug design, bioremediation, etc., it is an overriding theme to get to know a proteinic structure and function. System for research is first extracted from databases by ontology, and cost mitigation of a biological experiment can be expected by next performing machine learning and a simulation. This research showed utilizing LOD as a technique for construction of the database of a "Protein-Ligand Binding Site Pair" by the proteomics in agriculture life science and the drug design field. Data of interatomic distance were able to be annotated by RDF of protein structure and a small molecular compound database. Moreover, in order to add a protein sequence database to LOD, the index for employing large-scale RDF by performance measurement of a triple store in the cloud environment was able to be obtained. This will be useful when developing the application of life science.