Michael M. Gilbert's research while affiliated with University of Michigan and other places

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Publications (3)


Supplementary Material
  • Data

December 2017

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16 Reads

Michael M. Gilbert

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Matthew D. DeMars

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Song Yang

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[...]

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John Montgomery
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Figure 1. Conceptual framework for late-stage diversification. Regiodivergent scaffold assembly followed by site-selective C−H oxidation presents a versatile strategy for accessing diverse products from a single late-stage intermediate. 
Figure 2. Synergy of small molecule catalysis and biocatalysis in late-stage diversification. (A) Regiodivergent reductive macrocyclization enabling access to 11-and 12-membered macrolactones. (B) Modular strategy for enabling site-selective biocatalytic oxidation with the potential to alter site of oxidation based on linker design. 
Figure 3. (A) Lowest energy conformers of a model of structure 4, with DFT barriers (kcal/mol) to C−H abstraction at C3 and C10. (B) Transition structure of C3 (purple) hydrogen abstraction. (C) Transition structure of C3 (yellow) hydrogen. (D) Transition structure of C10 (green) hydrogen abstraction. (E) Transition structure of C10 (blue) hydrogen abstraction. 
Figure 4. (A) Snapshot of MD trajectory of 4 with linker a overlaid with a snapshot of 4 with linker c. (B) Closeup of Figure 3A snapshot with average C−O Fe distances shown. (C) Snapshot of 4 with linker a with average H−O distances shown. (D) Plot of hydrogen (of substrate C3) to oxygen (of iron−oxo) distances vs C−H−O angles throughout the MD trajectory, with transition state (TS) geometry shown in red. (E) Snapshot of 4 with linker c with average H−O distances shown. (F) Plot of hydrogen (of substrate C10) to oxygen (of iron−oxo) distances and C−H−O angles throughout the MD trajectory, with TS geometry shown in red. 
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Synthesis of Diverse 11- and 12-Membered Macrolactones from a Common Linear Substrate Using a Single Biocatalyst
  • Article
  • Full-text available

November 2017

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197 Reads

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22 Citations

ACS Central Science

The diversification of late stage synthetic intermediates provides significant advantages in efficiency in comparison to conventional linear approaches. Despite these advantages, accessing varying ring scaffolds and functional group patterns from a common intermediate poses considerable challenges using existing methods. The combination of regiodivergent nickel-catalyzed C–C couplings and site-selective biocatalytic C–H oxidations using the cytochrome P450 enzyme PikC addresses this problem by enabling a single late-stage linear intermediate to be converted to macrolactones of differing ring size and with diverse patterns of oxidation. The approach is made possible by a novel strategy for site-selective biocatalytic oxidation using a single biocatalyst, with site selectivity being governed by a temporarily installed directing group. Site selectivities of C–H oxidation by this directed approach can overcome positional bias due to C–H bond strength, acidity, inductive influences, steric accessibility, or immediate proximity to the directing group, thus providing complementarity to existing approaches.

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Enzymatic Hydroxylation of an Unactivated Methylene C–H Bond Guided by Molecular Dynamics Simulations

August 2015

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344 Reads

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106 Citations

Nature Chemistry

The hallmark of enzymes from secondary metabolic pathways is the pairing of powerful reactivity with exquisite site selectivity. The application of these biocatalytic tools in organic synthesis, however, remains under-utilized due to limitations in substrate scope and scalability. Here, we report how the reactivity of a monooxygenase (PikC) from the pikromycin pathway is modified through computationally guided protein and substrate engineering, and applied to the oxidation of unactivated methylene C-H bonds. Molecular dynamics and quantum mechanical calculations were used to develop a predictive model for substrate scope, site selectivity and stereoselectivity of PikC-mediated C-H oxidation. A suite of menthol derivatives was screened computationally and evaluated through in vitro reactions, where each substrate adhered to the predicted models for selectivity and conversion to product. This platform was also expanded beyond menthol-based substrates to the selective hydroxylation of a variety of substrate cores ranging from cyclic to fused bicyclic and bridged bicyclic compounds.

Citations (2)


... elements that influence dimerase selectivity. [29][30][31] Thus, we performed 1.2 microsecond simulations of each substratebound enzyme and to identify regions with differential conformational plasticity, we computed the RMSD for the α-carbon of each residue (averaged over all three MD simulations) compared to the crystal structure ( Figure 3). Comparing the α-carbon RMSD vs. residue number for NzeB and AspB revealed a region that appeared to be considerably less flexible in AspB from residues 86-91 (Figure 3a), which also corresponds to a region with low shared sequence homology (Supporting Information, Supplementary Figure S1). ...

Reference:

Molecular Dynamics Simulations Guide Chimeragenesis and Engineered Control of Chemoselectivity in Diketopiperazine Dimerases
Synthesis of Diverse 11- and 12-Membered Macrolactones from a Common Linear Substrate Using a Single Biocatalyst

ACS Central Science

... [60,61] Importantly for enzyme design, although this protocol is semi-quantitative at best, it allows analyzing dozens of combinations of mutants and substrates in parallel. We and others are now using this protocol to guide directed evolution experiments on various enzymes [19] with promising success; [29,[62][63][64][65][66] through the years, MD simulations have become a routine method to qualitatively predict mutational hotspots and catalytic performance of engineered and designed enzymes. The ultimate goal of this approach is to develop a computational enzyme design method to substitute, or at least alleviate, the current dependence on directed evolution to produce artificial enzymes with unnatural catalytic activities. ...

Enzymatic Hydroxylation of an Unactivated Methylene C–H Bond Guided by Molecular Dynamics Simulations

Nature Chemistry