Fundamental Theory of the Evolution Force: Gene Engineering Utilizing Synthetic Evolution Artificial Intelligence

TL;DR

This paper introduces the Fundamental Theory of the Evolution Force (FTEF) and demonstrates its application through synthetic evolution AI to engineer proteins, advancing gene engineering and understanding of biological evolution.

Contribution

The paper presents the first mathematical formulation of the evolution force and applies synthetic evolution AI to engineer functional proteins, showcasing a novel theoretical and practical approach.

Findings

Engineered 14-3-3 ζ proteins retained native dynamics

FTEF provides a mathematical basis for evolution processes

Synthetic evolution AI accelerates gene engineering

Abstract

The effects of the evolution force are observable in nature at all structural levels ranging from small molecular systems to conversely enormous biospheric systems. However, the evolution force and work associated with formation of biological structures has yet to be described mathematically or theoretically. In addressing the conundrum, we consider evolution from a unique perspective and in doing so introduce the Fundamental Theory of the Evolution Force, FTEF. Herein, we prove FTEF by proof of concept using a synthetic evolution artificial intelligence to engineer 14-3-3 {\zeta} docking proteins. Synthetic genes were engineered by transforming 14-3-3 {\zeta} sequences into time-based DNA codes that served as templates for random DNA hybridizations and genetic assembly. Application of time-based DNA codes allowed us to fast forward evolution, while damping the effect of point mutations. Notably, SYN-AI engineered a set of three architecturally conserved docking proteins that retained motion and vibrational dynamics of native Bos taurus 14-3-3 {\zeta}.