# Holographic bound and protein linguistics

## TL;DR

This paper explores how the holographic bound influences biological complexity, demonstrating that genetic code evolution shapes amino acid usage and genomic GC content, supported by comprehensive proteome data.

## Contribution

It introduces a novel link between physical information limits and biological evolution, highlighting the role of protein linguistics in genetic code development.

## Key findings

- Genetic code evolution affects amino acid frequency variance.
- Genomic GC content varies with genetic code evolution.
- Proteome data supports the linguistic mechanism hypothesis.

## Abstract

The holographic bound in physics constrains the complexity of life. The finite storage capability of information in the observable universe requires the protein linguistics in the evolution of life. We find that the evolution of genetic code determines the variance of amino acid frequencies and genomic GC content among species. The elegant linguistic mechanism is confirmed by the experimental observations based on all known entire proteomes.