A novel open-access artificial-intelligence-driven platform for CNS drug discovery utilizing adult zebrafish.

Journal: Journal of neuroscience methods
PMID:

Abstract

BACKGROUND: Although zebrafish are increasingly utilized in biomedicine for CNS disease modelling and drug discovery, this generates big data necessitating objective, precise and reproducible analyses. The artificial intelligence (AI) applications have empowered automated image recognition and video-tracking to ensure more efficient behavioral testing.

Authors

  • Danil A Lukovikov
    Graduate Program in Bioinformatics and Genomics, Sirius University of Science and Technology, Sochi 354340, Russia; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia.
  • Tatiana O Kolesnikova
    Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia.
  • Aleksey N Ikrin
    Graduate Program in Genetics and Genetic Technologies, Sirius University of Science and Technology, Sochi 354340, Russia; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia.
  • Nikita O Prokhorenko
    Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia.
  • Anton D Shevlyakov
    Graduate Program in Bioinformatics and Genomics, Sirius University of Science and Technology, Sochi 354340, Russia; Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia.
  • Andrei A Korotaev
    Neuroscience Department, Sirius University of Science and Technology, Sochi 354340, Russia.
  • Longen Yang
    Department of Biological Sciences, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Suzhou Key Laboratory of Neurobiology and Cell Signaling, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
  • Vea Bley
    Department of Biological Sciences, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Biology Program, University of Florida, Gainesville, FL 32610, USA.
  • Murilo S de Abreu
    Bioscience Institute, University of Passo Fundo, Passo Fundo, Brazil; Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
  • Allan V Kalueff
    School of Pharmacy, Southwest University, Chongqing, China; Ural Federal University, Ekaterinburg, Russia; ZENEREI, LLC, Slidell, LA, USA; Group of Preclinical Bioscreening, Granov Russian Research Center of Radiology and Surgical Technologies, Ministry of Healthcare of Russian Federation, Pesochny, Russia. Electronic address: avkalueff@gmail.com.