Preprint Concept Paper Version 1 Preserved in Portico This version is not peer-reviewed

Aquamoleculomics: A Thermodynamic Cornerstone of Systems Biology

Version 1 : Received: 23 April 2021 / Approved: 26 April 2021 / Online: 26 April 2021 (20:02:20 CEST)

How to cite: Nie, Z.; Nie, Y. Aquamoleculomics: A Thermodynamic Cornerstone of Systems Biology. Preprints 2021, 2021040686 (doi: 10.20944/preprints202104.0686.v1). Nie, Z.; Nie, Y. Aquamoleculomics: A Thermodynamic Cornerstone of Systems Biology. Preprints 2021, 2021040686 (doi: 10.20944/preprints202104.0686.v1).

Abstract

Systems biology has been established for more than a decade in the post-genomic era. With the help of the computational and mathematical tools, systems biology reconstitutes the entire scenario of the cell, tissue and even organism from the pieces data generated in the past decades. However, the modern biology is mainly focusing on the structure and function of the biomolecule, cell, tissue or organ, which are far from the essence of the life because of missing thermodynamic information. It is doubtable that the current systems biology-based omics is no-how to fully understand the dynamic courses of the structure, function and information in life. For this reason, we promote a novel concept of aquamoleculomics, in which the biological structure and function as well as thermodynamic characteristics and bioinformation of the aquamolecule complexes are included in this theoretical model of systems biology. Water is mother of life, matter and matrix of organism. Indeed, the fundamental roles of H2O molecules in biological processes might be dramatically underestimated. Extremely speaking, H2O networks in the living system might be engaged in all the biological processes including building all the biological structures, the residential places of the motherhood molecules as the honeycombs of honeybees.

Subject Areas

H2O networks; Aqua biomolecule complexes; Thermodynamic mechanism; “Aquamoleculosome"; Entropic systems biology; Self-organized criticality (SOC); Self-organization triggering factor (SOTF); Bioinformatics of aquamoleculomics.

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