Evolutionary conservation of DNA-contact residues in DNA-binding domains

Chu, Yan; Zhang, Jianpei

doi:10.1109/imsccs.2007.24

Cited by 1 publication

(2 citation statements)

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“…Sequence conservation is strongly correlated with ligand binding, structure of active sites, protein-protein interaction (PPI) interfaces and functional specificity (1). In a study of DNA binding proteins, it was demonstrated that functionally essential residues are more highly conserved than their counterparts (24). It has also been established that evolutionary conservation of amino acids contributes to the protein stable core (25).…”

Section: Four Fundamental Evolution Engines 1) Evolutionary Sequence mentioning

confidence: 99%

“…Thereby, evolution force is solved as a measure of central tendency respective to the phylogenetic history of the gene. = ∑ • [24] Work applied on the system is a function of evolutional torque and genetic distance . Where, = 1 ∫ ( + 0 ) describes the genetic step in respect to the rigid body.…”

Section: Analyzing Evolution Force Utilizing the Rotation Modelmentioning

confidence: 99%

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

Davis¹,

Uppu²

2019

Preprint

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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.

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Section: Four Fundamental Evolution Engines 1) Evolutionary Sequence mentioning

confidence: 99%

Section: Analyzing Evolution Force Utilizing the Rotation Modelmentioning

confidence: 99%