The DetR DB compiles both manually curated information and automatically generated data that is regularly managed and updated. Firstly, we analyzed the open-access published literature available in the NCBI database, covering all reports of isolation and identification of radioresistant microorganisms and giving preference to researches with specified D10 value (D10 threshold is the absorbed radiation dose required to inactivate 90% of a viable population). At the time of writing, the database includes 55 species of Bacteria domain and 8 species of Archaea domain. The same procedure was used to search for genes, proteins or pathways involved in the formation and functioning of mechanisms that determine the resistance to ionizing radiation. As with the selection process of most microbial species, we focused on those studies where the role of the specific determinant was confirmed experimentally, thus the database currently contains 119 genes of interest. Each strain of selected microorganism was matched with the corresponding UniProt ID number that was used to get and bind diverse data on species and genes. Taxonomy of radioresistant microbes was obtained from NCBI database. The metadata on genes and proteins, including amino acid sequences, were gathered from UniProt. Nucleotide sequences and gene ontology (GO) annotation were downloaded from KEGG database.

This software was written in C# with .NET Framework 4 platform usage. Windows Presentation Foundation (WPF) was used to build the user interface.