Fundamental Theory of the Evolution Force (FTEF): Gene Engineering utilizing Synthetic Evolution Artificial Intelligence (SYN-AI)

Abstract

A B S T R A C TThe 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 we introduce "The fundamental Theory of the Evolution Force". Whereby, the driving force of evolution is defined as a compulsion acting at the matter-energy interface that accomplishes genetic diversity while simultaneously conserving structure and function. By proof of concept, we attempt herein to characterize evolution force associated with genomic building block (GBB) formation utilizing synthetic evolution artificial intelligence (SYN-AI). As part of our methodology, we transform the DNA code into time dependent DNA codes based upon DNA hierarchical structural levels that allow evolution by the exchange of genetic information like the swapping of building blocks in a game of Legos. Notably, we not only theorize and mathematical describe the evolution force herein, but have written a set of 14-3-3 docking genes from scratch.

Intelligent Design of 14-3-3 Docking Proteins Utilizing Synthetic Evolution Artificial Intelligence (SYN-AI)

“…Whereby, evolution force was analyzed over single and multidimensional planes of evolution formed as functions of the four evolution engines, i) evolution conservation, ii) wobble, iii) DNA binding state and (iv) periodicity according to "The Fundamental Theory of the Evolution Force" and as described in. 71 In addition, genomic building blocks were identified by applying natural selection protocols that limited selection to evolutionarily conserved DNA crossovers utilizing pattern recognition filters and that limited selection to sequences comprised of naturally occurring mutations utilizing Blosum 80 mutation frequency based algorithms. Subsequently, SYN-AI engineered synthetic 14-3-3 docking genes by walking the DNA tertiary code and randomly selecting and ligating synthetic super secondary structures formed by Domain Legos shuffling of genomic building blocks.…”

“…Evolution force was analyzed utilizing the rotation model as described in 71 and as illustrated in Fig. 2.…”

“…Evolution force associated with genomic building block formation was solved utilizing the rotation model as described in 71 . Evolution force was solved as a function of inertial moments about the evolution axis and molecular wobble, Eq.…”

“…SYN-AI constructed a library of 1 10 7 genes that was passed thru a set of neural networks that evaluated closeness of synthetic protein structural states to native states. Wherein, SYN-AI set a minimal closeness threshold of > 90 percent identity according to 71 . A subsequent selection limited super secondary structures to those characterized by naturally occurring mutations.…”

“…Based upon "The Fundamental Theory of the Evolution Force", these sequences are genetic artifacts formed during the evolution process. 71 The DTER allows partitioning of genes at the super secondary structure level. Whereby, synthetic genes are engineered by walking the DTER followed by random selection and ligation of super secondary structures.…”