Vol. 7, Issue 2, Part B (2025)

The selective activation of latent carbon-hydrogen (C--H) bonds remains one of the most challenging objectives in the synthetic chemist's arsenal, requiring catalysts with catalyst with both high reactivity and precision regio-, chemo-, and stereo control. Homogeneous transition-metal catalysts, in spite of their broad substrate classes and tunable reactivity, stoichiometric number deficits fail to provide the degree of molecular recognition typical of enzymes, leading to over- and under- functionalization and low selectivity. Natural metalloenzymes, on the other hand, offer unmatched precision through cleverly designed protein scaffolds, whilst also suffering from limited substrate tolerance, sensitivity to non-physiological conditions, and difficulty in rational design. Some bottom-up assembled metals and ligands, or supramolecular coordination assemblies (SCAs), are a new and promising, discrete chemical platform that can be both designed and formed through directed metal-ligand interactions (e.g. through metal coordination). SCAs are a new strategy for using biomimetic design principles to construct artificial metalloenzymes (ArMs) that coherently combine the practicality of transition metals with nature's ability to control special and microenvironment within their well-done proteins. This comprehensive review will cover, critically, the structural diversity, design and engineering principles, mechanistic aspects, and functional distributions of SCAs as ArMs in selective C--H activation of aliphatic, benzylic, allylic, and even inactivated substrates. We classify these systems by architectural motif (Metall cages, helices, M₄L₆ cubes, polyhedral, and hybrid protein-SCA hybrids), analyze the role of non-covalent interactions (hydrophobic effects, hydrogen bonding, π-stacking, electrostatic steering) in substrate preorganization and transition state stabilization, and present quantitative comparisons of turnover numbers (TON), enantiomeric excesses (ee), and chemise Hectivities with conventional catalysts and native enzymes. We further acutely analyze recent advances in dynamic combinatorial chemistry, adaptive self-correction, and computational design tools enabling predictive optimization. Critical challenges catalyst deactivation, scalability, aqueous compatibility, and product inhibition are discussed alongside emerging solutions using ligand engineering, encapsulation strategies, and biohybrid integration. Finally, we propose a roadmap for industrial translation, emphasizing sustainable applications in pharmaceutical synthesis, Late-stage functionalization, and green chemistry. The convergence of supramolecular chemistry, bioinorganic engineering, and systems chemistry heralds a new paradigm: programmable nanoreactors mimicking nature’s efficiencies while expanding its chemical repertoire beyond biological constraints.