Synthetic and computational assessment of a chiral metal-organic framework catalyst for predictive asymmetric transformation.

Understanding and controlling molecular recognition mechanisms at a chiral solid interface is a continuously addressed challenge in heterogeneous catalysis. Here, the molecular recognition of a chiral peptide-functionalized metal-organic framework (MOF) catalyst towards a pro-chiral substrate is evaluated experimentally and . The MIL-101 metal-organic framework is used as a macroligand for hosting a Noyori-type chiral ruthenium molecular catalyst, namely (benzene)Ru@MIL-101-NH-Gly-Pro.