Information Optimality and the Geometry of Chromatin
Abstract
The previous chapter showed how information-theoretic geometry of the genetic code data, together with the principle of maximum entropy, explains the variation in the codon groupings that map into different amino acids and explains its underlying self-similar structure. We now investigate the use of information optimality in the investigation of the large-scale geometry of the DNA–protein complex of chromatin. Systems-level optimality requires that not only should all subparts of a natural process be optimal but also the unfolding of higher recursive levels that include symbolic abstractions (Kak, 2025b; Kak, 2025e).
Fields of Study & Subjects
Fractal and DNA sequence analysis
RNA and protein synthesis mechanisms
Complex Systems and Dynamics
Publication details
- Journal / source
- Chapman & Hall/CRC eBooks
- Pages
- 110–123
- Publication date
- 13 February 2026
- Language
- EN
- Document type
- Book chapter