# Learning of signaling networks: molecular mechanisms

arXiv: https://arxiv.org/abs/2001.11679 · HTML: https://mlsanity.com/paper/2001.11679/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Jan 2020.

## Built on by (most cited first, 2 of 2)

- [Classical Sorting Algorithms as a Model of Morphogenesis: self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence](https://mlsanity.com/paper/2401.05375/) (2023)
- [Language Game: Talking to Non-Human Systems](https://mlsanity.com/paper/2605.16321/) (2026)

## Abstract (arXiv)

Molecular processes of neuronal learning have been well-described. However, learning mechanisms of non-neuronal cells have not been fully understood at the molecular level. Here, we discuss molecular mechanisms of cellular learning, including conformational memory of intrinsically disordered proteins and prions, signaling cascades, protein translocation, RNAs (microRNA and 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 discuss how cellular learning may open novel directions in drug design and inspire new artificial intelligence methods.