Turning Enantiomeric Relationships into Diastereomeric Ones: Self-Resolving α-Ureidophosphonates and Their Organocatalytic Enantioselective Synthesis.
Vanda DaškováDamián PadínBen L FeringaPublished in: Journal of the American Chemical Society (2022)
Controlling chiral recognition and chiral information transfer has major implications in areas ranging from drug design and asymmetric catalysis to supra- and macromolecular chemistry. Especially intriguing are phenomena associated with chiral self-recognition. The design of systems that show self-induced recognition of enantiomers, i.e., involving homochiral versus heterochiral dimers, is particularly challenging. Here, we report the chiral self-recognition of α-ureidophosphonates and its application as both a powerful analytical tool for enantiomeric ratio determination by NMR and as a convenient way to increase their enantiomeric purity by simple achiral column chromatography or fractional precipitation. A combination of NMR, X-ray, and DFT studies indicates that the formation of homo- and heterochiral dimers involving self-complementary intermolecular hydrogen bonds is responsible for their self-resolving properties. It is also shown that these often unnoticed chiral recognition phenomena can facilitate the stereochemical analysis during the development of new asymmetric transformations. As a proof of concept, the enantioselective organocatalytic hydrophosphonylation of alkylidene ureas toward self-resolving α-ureidophosphonates is presented, which also led us to the discovery of the largest family of self-resolving compounds reported to date.
Keyphrases
- capillary electrophoresis
- mass spectrometry
- liquid chromatography
- high resolution
- ionic liquid
- solid state
- magnetic resonance
- small molecule
- solid phase extraction
- high throughput
- computed tomography
- emergency department
- oxidative stress
- diabetic rats
- tandem mass spectrometry
- high performance liquid chromatography
- endothelial cells
- social media
- ms ms
- dual energy
- molecular dynamics simulations