Design Strategy of Multi‐electron Transfer Catalysts Based on a Bioinformatic Analysis of Oxygen Evolution and Reduction Enzymes. Issue 8 (14th May 2018)

• Record Type: Journal Article
• Authors: Ooka, Hideshi; Hashimoto, Kazuhito; Nakamura, Ryuhei
• Is Part Of: Molecular informatics. Volume 37:Issue 8(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-05-14
• Subjects: Bioenergetics -- Bioinformatics -- Catalysis -- Life-cycle assessment -- Oxygen evolution; Cheminformatics -- Periodicals; QSAR (Biochemistry) -- Periodicals; Structure-activity relationships (Biochemistry) -- Periodicals; Drugs -- Structure-activity relationships -- Periodicals; 615.19
• DOI: 10.1002/minf.201700139
• Languages: English
• ISSNs: 1868-1743

Abstract

Abstract: Understanding the design strategy of photosynthetic and respiratory enzymes is important to develop efficient artificial catalysts for oxygen evolution and reduction reactions. Here, based on a bioinformatic analysis of cyanobacterial oxygen evolution and reduction enzymes (photosystem II: PS II and cytochrome c oxidase: COX, respectively), the gene encoding the catalytic D1 subunit of PS II was found to be expressed individually across 38 phylogenetically diverse strains, which is in contrast to the operon structure of the genes encoding major COX subunits. Selective synthesis of the D1 subunit minimizes the repair cost of PS II, which allows compensation for its instability by lowering the turnover number required to generate a net positive energy yield. The different bioenergetics observed between PS II and COX suggest that in addition to the catalytic activity rationalized by the Sabatier principle, stability factors have also provided a major influence on the design strategy of biological multi‐electron transfer enzymes. Abstract :