A Two-Step Methodology for Dynamic Construction of a Protein Ontology

摘要

Proteins are biological molecules that contribute to maintaining cell structure, catalysis of organic reactions, and regulation of the gene expression. They also play an essential role in identifying causes of diseases. Therefore, providing structured knowledge about proteins is one of the most important and frequently studied issues in biological and medical research-particularly after the conclusion of the Human Genome Project, which helped answer the question of whether there is a unique correspondence between genes and generated proteins, opening new avenues for the study of proteins. We propose a two-step methodology that first translates DNA sequences into amino acid sequences based on a multi-agent approach and then uses the results to construct a dynamic protein ontology. We also present a software application that allows scientists to use the ontology as a reference protein knowledge base for developing effective disease prevention mechanisms, personalized medicine and treatments, and other aspects of healthcare.