Premium
Utilization of Self‐Sorting Processes To Generate Dynamic Combinatorial Libraries with New Network Topologies
Author(s) -
Saur Isabelle,
Scopelliti Rosario,
Severin Kay
Publication year - 2006
Publication title -
chemistry – a european journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.687
H-Index - 242
eISSN - 1521-3765
pISSN - 0947-6539
DOI - 10.1002/chem.200500621
Subject(s) - network topology , sorting , computer science , sorting network , distributed computing , theoretical computer science , sorting algorithm , computer network , algorithm
The synthesis of water‐soluble, organometallic macrocycles is described. They were obtained by self‐assembly in reactions of the half‐sandwich complexes [{Ru(C 6 H 5 Me)Cl 2 } 2 ], [{Ru( p ‐cymene)Cl 2 } 2 ], [{Rh(Cp)Cl 2 } 2 ], and [{Ir(Cp*)Cl 2 } 2 ] with the ligand 5‐dimethylaminomethyl‐3‐hydroxy‐2‐methyl‐4‐(1 H )‐pyridone in buffered aqueous solution at pH 8. The structure of the Ru–( p ‐cymene) complex was determined by single‐crystal X‐ray crystallography. Upon mixing, these complexes undergo scrambling reactions to give dynamic combinatorial libraries. In combination with structurally related complexes based on amino‐methylated 3‐hydroxy‐2‐(1 H )‐pyridone ligands, an exchange of metal fragments but no mixing of ligands was observed. This self‐sorting behavior was used to construct dynamic combinatorial libraries of macrocycles, in which two four‐component sub‐libraries are connected by two common building blocks. This type of network topology influences the adaptive behavior of the library as demonstrated in selection experiments with lithium ions as the target.