# Quantum Intelligence on Protein Folding Pathways

**Authors:** Wen-Wen Mao, Li-Hua Lu, Yong-Yun Ji, You-Quan Li

arXiv: 1907.07179 · 2021-06-24

## TL;DR

This paper explores quantum approaches to protein folding, introducing new concepts like distance space and probability ratios, and demonstrates faster folding times alongside evidence of quantum intelligence influencing folding pathways.

## Contribution

It presents a novel quantum model for protein folding with nine amino acids, introducing distance space and probability ratios, revealing quantum effects in pathway selection.

## Key findings

- Confirmed faster quantum folding times
- Unveiled quantum intelligence in pathway selection
- Introduced new concepts of distance space and probability ratio

## Abstract

We study the protein folding problem on the base of the quantum approach we proposed recently by considering the model of protein chain with nine amino-acid residues. We introduced the concept of distance space and its projections on a $XY$-plane, and two characteristic quantities, one is called compactness of protein structure and another is called probability ratio involving shortest path. Our results not only confirmed the fast quantum folding time but also unveiled the existence of quantum intelligence hidden behind in choosing protein folding pathways.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1907.07179/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/1907.07179/full.md

## References

35 references — full list in the complete paper: https://tomesphere.com/paper/1907.07179/full.md

---
Source: https://tomesphere.com/paper/1907.07179