The “Master Code of Biology”: New Biomathematical Tracks in Alzheimer Disease

Abstract

Fundamental research not yet published enables us to unify, overall, the genomics and proteomics information of any genetic sequence. This fundamental law is based on a bio-mathematics unification of all genetic information (bio-atoms, nucleotides, codons, amino acids, DNA/RNA/Proteins) from the level of the six basic bio-atoms conhsp to the global level of whole genomes. This law, which we name “Universalis Genetic Codes: Global Unified Genetic Codes (GUGC)”, traduces a global genetic tuning and balancing unifying any DNA sequence and its equivalent translated into amino acids. As an indication, one measures a linear Genomics/ Proteomics coupling of 97% for the whole genome of AIDS HIV1- HXB2, length of more than 9000 bp, including about ten genes and enzymes. Concretely, the dynamics of this Genomics/Proteomics coupling is appeared as two correlated curves translating topology and the dynamic evolution of a hierarchical classification of codons throughout the studied sequence. More precisely, the study of these curves shows that this tool highlights the functional areas and active sites within proteins. The specific context of Proteins Self-Assembly area could be an interesting field to run and improve our new basic research approach. Particularly, studying Prions by this method we propose a possible self-interaction with a Genomics/Proteomics correlation coupling ratio of r=99.3%. Such prospects oblige us to propose this new technology in the study of the Genetics of the disease of Alzheimer. We propose results new and not yet published in the three principal tracks of research which are the genes TAU, ApoE4 and BetaA4 Amyloid

Authors and Affiliations

Perez Jean Claude

Keywords

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  • EP ID EP570987
  • DOI 10.26717/BJSTR.2017.01.000374
  • Views 146
  • Downloads 0

How To Cite

Perez Jean Claude (2017). The “Master Code of Biology”: New Biomathematical Tracks in Alzheimer Disease. Biomedical Journal of Scientific & Technical Research (BJSTR), 1(4), 1109-1113. https://europub.co.uk/articles/-A-570987