Synthetic Approach to biomolecular science by cyborg supramolecular chemistry

• Published in: Biochimica et biophysica acta. General subjects Vol. 1862; no. 2; pp. 358 - 364
• Main Authors: Kurihara, Kensuke, Matsuo, Muneyuki, Yamaguchi, Takumi, Sato, Sota
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.02.2018
• Subjects: Animals; Artificial cell; Chemistry Techniques, Synthetic; Computational Biology; Humans; Kinetics; Macromolecular Substances - chemical synthesis; Macromolecular Substances - metabolism; Models, Biological; Molecular Dynamics Simulation; Molecular Structure; Self-assembly; Self-reproduction; Structure-Activity Relationship; Supramolecular chemistry; Synthetic chemistry; Self-assembly; Synthetic chemistry; Self-reproduction; Artificial cell; Supramolecular chemistry
• ISSN: 0304-4165; 1872-8006
• DOI: 10.1016/j.bbagen.2017.11.002

To imitate the essence of living systems via synthetic chemistry approaches has been attempted. With the progress in supramolecular chemistry, it has become possible to synthesize molecules of a size and complexity close to those of biomacromolecules. Recently, the combination of precisely designed supramolecules with biomolecules has generated structural platforms for designing and creating unique molecular systems. Bridging between synthetic chemistry and biomolecular science is also developing methodologies for the creation of artificial cellular systems. This paper provides an overview of the recently expanding interdisciplinary research to fuse artificial molecules with biomolecules, that can deepen our understanding of the dynamical ordering of biomolecules. Using bottom-up approaches based on the precise chemical design, synthesis and hybridization of artificial molecules with biological materials have been realizing the construction of sophisticated platforms having the fundamental functions of living systems. The effective hybrid, molecular cyborg, approaches enable not only the establishment of dynamic systems mimicking nature and thus well-defined models for biophysical understanding, but also the creation of those with highly advanced, integrated functions. This article is part of a Special Issue entitled “Biophysical Exploration of Dynamical Ordering of Biomolecular Systems” edited by Dr. Koichi Kato.