Regioselective Functionalization of Alkyl and Aryl C–H Bonds

C-H functionalization mechanism

Our group has discovered some of the most widely practiced C–H bond functionalization reactions. We discovered the reactions of metal boryl compounds with arenes and alkanes to form functionalized products and developed this new elementary reaction into catalytic processes for the conversion of alkyl and aryl C–H bonds into C–B bonds. The C–B bonds in the product can then be converted to C–C and C–heteroatom bonds in a wide range of valuable products.

C-H functionalization examples

Our success on the functionalization of C–H bonds in complex molecules with boranes and silanes has led us to develop additional classes of C–H bond functionalizations. For example, we recently disclosed a combination of catalyst and reagent for the conversion of C–H bonds in natural products to the C–N bonds in alkyl azides.

Olefin Hydrofunctionalization

Hydrofunctionalization mechanism

The hydrofunctionalization of olefins is a long-standing goal for transition metal catalysis, and we reported the first additions of N–H and O–H bonds to unactivated alkenes with transition metal catalysts. More recently, we discovered the first anti-Markovnikov addition of an unactivated arene to an unactivated alkene and the first additions of an N–H bond to internal alkenes, including enantioselective versions of this hydroamination reaction.

Hydrofunctionalization examples

Enantioselective Allylic Amination and Etherification

Iridium-catalyzed allylic substitution

We have developed an iridium catalyst that forms chiral allylic amines, ethers, and carbonyl compounds in high enantiomeric excess from terminal allylic esters. Detailed mechanistic studies have shown that the catalyst forms by cyclometalation at a methyl C–H bond of the ligand, and this observation has allowed the design of simplified, as well as improved catalysts.

New Classes of Cross-Couplings

Cross-coupling reactions

We developed a palladium-catalyzed process that forms arylamines, aryl sulfides, and arylethers. This reaction has become one of the most widely practiced reactions by medicinal chemists discovered in the past four decades. The catalytic chemistry resulted from our detailed mechanistic experiments on transition metal amide, alkoxo and thiolato complexes.

Additional cross-coupling examples

We have developed a simple method to convert aryl halides and ketones, esters, amides, cyanoesters, malonates, nitriles, and related compounds to alpha aryl carbonyl compounds and nitriles in the presence of base and a palladium catalyst. Familiar compounds that can be generated from these products include Ibuprofen, Naproxin and Tamoxifen.

Metal Catalyzed Fluorination and Fluoroalkylation

The synthesis of arenes and heteroarenes containing fluorine is crucial to the discovery of modern drugs and agrochemicals. These fluorine atoms impart a unique combination of steric and electronic properties and can influence the interactions of the molecules with proteins by non-covalent interactions.

Fluorination reactions
Fluoroalkylation examples
Fluorine mechanistic studies

Catalysis for Renewable Chemicals: Catalysis for the Upcycling of Polymers

The world manufactures approximately 300 billion pounds of polyolefins a year, and little of this plastic is recycled. We envision a future in which such plastic is chemically converted to more valuable products, converted to polymers with a more cyclic lifetime, and even created from the outset to have a cyclic lifetime by design.

Polymer upcycling
Polymer applications

Artificial Metalloenzymes

In addition to studies with small-molecule catalysts, we have begun to develop methods to combine the diversity of reactions of organometallic complexes with the selectivity of enzymes. To do so, we have followed several approaches, including cooperative chemoenzymatic reactions and artificial metalloenzymes in which the active site contains an organometallic complex.

Artificial metalloenzyme mechanism
Metalloenzyme examples
Protein structure

Accelerating Discovery using Machine Learning and Data Science

We have been developing alternative approaches to the conventional methods for catalyst discovery and development. In particular, we have used fluorescent and colorimetric assays to evaluate catalysts for carbon-carbon and carbon-nitrogen bond forming processes catalyzed by transition metal complexes. Recently, we are using machine learning approaches to predict catalyst activity and selectivity from large datasets.

Machine learning for catalyst discovery