Accepted_test

PhotoProteinTech database on the properties of luciferases and Ca2+-regulated photoproteins, technologies and areas of their application created by automatic analysis of scientific publications and patents
by Ivanisenko V.A. | Burakova L.P | Eremeeva E.V. | Natashin P.V. | Larionova M.D. | Malikova N.P. | Ivanisenko T.V. | Demenkov P.S. | Venzel A.S. | Ivanisenko N.V. | Vysotski E.S. | Institute of Cytology and Genetics, SB RAS | Institute of Biophysics, SB RAS, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, Russia | Institute of Biophysics, SB RAS, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, Russia | Institute of Biophysics, SB RAS, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, Russia | Institute of Biophysics, SB RAS, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, Russia | Institute of Biophysics, SB RAS, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, Russia | Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia | Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia | Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia | AIRI, Moscow, Russia | Institute of Biophysics, SB RAS, Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk, Russia
Abstract ID: 195
Event: BGRS-abstracts
Sections: [Sym 3] Section “Structural biology of proteins nucleic acids and membranes”

Ivanisenko et al. present PhotoProteinTech, a comprehensive relational database containing information on the properties, technologies, and applications of coelenterazine-dependent luciferases and Ca²⁺-regulated photoproteins. The database, implemented using MySQL 5.7.26 DBMS, consists of interconnected tables storing data on native and mutant forms of proteins, their homologs, functional sites, molecular ligands, taxonomy, and references to literature and patents.

To populate the database, the authors employed natural language text mining methods using their cognitive software and information system, ANDSystem. The current version of PhotoProteinTech includes information on various photoproteins and luciferases, such as berovin, aequorin, obelin, and Renilla luciferase, along with their numerous mutants.

Furthermore, the database provides valuable insights into a wide range of technologies and biomedical applications involving photoproteins and luciferases, extracted from international patents. These include BRET-based antibody sensors, luminescent antibody sensing, high-throughput screening, in vivo imaging, and applications in drug resistance, cardiovascular diseases, tumors and other.

The novelty of PhotoProteinTech lies in its integration of data on the physicochemical and structural properties of luciferases and photoproteins with related information on their practical applications and associated technologies. This resource can facilitate the design of new forms of luciferases and photoproteins for various research and biomedical purposes.