Learning of Signaling Networks: Molecular Mechanisms

Péter Csermely, Nina Kunsic, Péter Mendik, Márk Kerestély, Teodóra Faragó, Dániel V. Veres, Péter Tompa

Research output: Review article


Molecular processes of neuronal learning have been well described. However, learning mechanisms of non-neuronal cells are not yet fully understood at the molecular level. Here, we discuss molecular mechanisms of cellular learning, including conformational memory of intrinsically disordered proteins (IDPs) and prions, signaling cascades, protein translocation, RNAs [miRNA and long noncoding RNA (lncRNA)], and chromatin memory. We hypothesize that these processes constitute the learning of signaling networks and correspond to a generalized Hebbian learning process of single, non-neuronal cells, and we discuss how cellular learning may open novel directions in drug design and inspire new artificial intelligence methods.

Original languageEnglish
Pages (from-to)284-294
Number of pages11
JournalTrends in Biochemical Sciences
Issue number4
Publication statusPublished - ápr. 2020

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

Fingerprint Dive into the research topics of 'Learning of Signaling Networks: Molecular Mechanisms'. Together they form a unique fingerprint.

  • Cite this

    Csermely, P., Kunsic, N., Mendik, P., Kerestély, M., Faragó, T., Veres, D. V., & Tompa, P. (2020). Learning of Signaling Networks: Molecular Mechanisms. Trends in Biochemical Sciences, 45(4), 284-294. https://doi.org/10.1016/j.tibs.2019.12.005