Interlinked switch circuits of biological intelligence

Raktim Mukherjee; Saptarshi Sinha; Gary D Luker; Pradipta Ghosh

doi:10.1016/j.tibs.2024.01.006

Interlinked switch circuits of biological intelligence

Trends Biochem Sci. 2024 Apr;49(4):286-289. doi: 10.1016/j.tibs.2024.01.006. Epub 2024 Feb 9.

Authors

Raktim Mukherjee¹, Saptarshi Sinha¹, Gary D Luker², Pradipta Ghosh³

Affiliations

¹ Department of Cellular and Molecular Medicine, University of California, San Diego, CA, 92093, USA.
² Department of Radiology, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Immunology Program, University of Michigan, Ann Arbor, MI, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA.
³ Department of Cellular and Molecular Medicine, University of California, San Diego, CA, 92093, USA; Department of Medicine, University of California, San Diego, CA, 92093, USA. Electronic address: prghosh@ucsd.edu.

PMID: 38341333
DOI: 10.1016/j.tibs.2024.01.006

Abstract

Eukaryotic cells learn and adapt via unknown network architectures. Recent work demonstrated a circuit of two GTPases used by cells to overcome growth factor scarcity, encouraging our view that artificial and biological intelligence share strikingly similar design principles and that cells function as deep reinforcement learning (RL) agents in uncertain environments.

Keywords: Ras superfamily GTPase switches; biological feedback; epidermal growth factor receptor (EGFR); guanine nucleotide-exchange modulators (GEMs); reinforcement learning; trimeric GTPase switches.

MeSH terms

GTP Phosphohydrolases* / metabolism
Signal Transduction*

Substances

GTP Phosphohydrolases