Bilateral conception strategy for efficient design of Lattice models and well Structured Genomic data processing with the semantic web-based system

Abstract

Protein folding design and genomic data processing methods are more powerful tools to
investigate the fundamental principle of IoT based healthcare. In previous researches, protein
folding has the problem of finding the lowest energy conformation and size complexity. Along
with this, there is a security problem in genome sequence and complications in storing genome
data due to the unstructured format. To tackle these issues a novel Bilateral conception strategy
has been proposed in this paper. Initially, the problems of finding the lowest energy
conformation and size complexity have been solved by a novel Reconcile pirouette mechanismbased
quantum processor through decrease the quantum circuit from quadratic to quasi-linear.
Then, the novel Adumbrating algorithm for secure commune based genomic data analysis deals
with the security issue and provides the highest privacy for the genome data by using Single
Nucleotide Polymorphisms. Finally, a novel Adroit Semantic web-based system is proposed for
securely storing and retrieving genome data by Collateral Description frame format. Thus the
novel bilateral conception strategy effectively solves the problem in protein folding and provides
a high security and storage format for genome sequence.