Multiple Expression of Molecular Information: Enforced Generation of Different Supramolecular Inorganic Architectures by Processing of the Same Ligand Information through Specific Coordination Algorithms
✍ Scribed by Daniel P. Funeriu; Jean-Marie Lehn; Katharina M. Fromm; Dieter Fenske
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 706 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0947-6539
No coin nor oath required. For personal study only.
✦ Synopsis
The multisubunit ligand 2 combines two complexation substructures known to undergo, with specific metal ions, distinct self-assembly processes to form a double-helical and a grid-type structure, respectively. The binding information contained in this molecular strand may be expected to generate, in a strictly predetermined and univocal fashion, two different, welldefined output inorganic architectures depending on the set of metal ions, that is, on the coordination algorithm used. Indeed, as predicted, the self-assembly of 2 with eight Cu II and four Cu I yields the intertwined structure D 1. It results from a crossover of the two assembly subprograms and has been fully characterized by crystal structure determination. On the other hand, when the instructions of strand 2 are read out with a set of eight Cu I and four M II (M Fe, Co, Ni, Cu) ions, the architectures C 1 ± C 4, resulting from a linear combination of the two subprograms, are obtained, as indicated by the available physico-chemical and spectral data. Re-dox interconversion of D 1 and C 4 has been achieved. These results indicate that the same molecular information may yield different output structures depending on how it is processed, that is, depending on the interactional (coordination) algorithm used to read it. They have wide implications for the design and implementation of programmed chemical systems, pointing towards multiprocessing capacity, in a one code/ several outputs scheme, of potential significance for molecular computation processes and possibly even with respect to information processing in biology.