プラチナナノザイム論理ゲートによる生体分子認識および相互作用ダイナミクスのプローブ

Recent studies have suggested that primitive catalytic systems resembling nanozymes may have played a role in the emergence of biochemical complexity during early molecular evolution. Bridging this conceptual link between abiotic catalysis and biological information processing, platinum nanozymes supported on graphene oxide (Pt/GO nanozymes) were employed as a model platform. GO, with its defect-rich surface, oxygen-containing functional groups, and electron-delocalized carbon lattice, provides physicochemical features reminiscent of mineral surfaces and primitive catalytic scaffolds. Such characteristics enable Pt/GO nanozymes to emulate early catalytic microenvironments, while maintaining tunable enzyme-like activities and surface functionalities for molecular recognition. In this study, we investigated the interactions between proteins, amino acids, and Pt/GO nanozymes by constructing logic gate systems. Specifically, NAND (NOT AND) and IMPLICATION (Logical Implication) logic gates were designed using bovine serum albumin (BSA), protons (H⁺), cysteine (Cys), and N-ethylmaleimide (NEM) as inputs. Furthermore, multi-input logic gates were developed by defining input states ("0" or "1") based on whether input concentrations exceeded a predefined threshold. We demonstrate the regulation of biochemical outputs through Pt/GO nanozymes-based logic gates in response to specific molecular cues, thereby mimicking early catalytic behavior and primitive information processing. This logic-gate framework, inspired by the catalytic landscapes of prebiotic environments and enhanced by the interfacial and electronic properties of GO, holds promise as a synthetic tool for probing molecular recognition, pathway computation, and the modeling of prebiotic biochemical networks.