Lynn Kamerlin

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Research Interests

Research in my group sits at the interface between chemistry and biology, with a focus on using computational tools to understand the chemical basis for complex biomolecular problems. In particular, we want to understand the dynamical and mechanistic parameters that shape the evolution of new enzyme functions, and to then harness these to engineer new enzymes with tailored physiochemical properties. To achieve this, we combine methodology development with applications to real world systems, in close collaboration with experimental groups across the world. Examples of ongoing methodology development include replica exchange empirical valence bond simulations to describe chemical reactivity, and machine learning tools to design new enzymes. We combine these tools with a range of enhanced sampling approaches, structural bioinformatics tools and EVB and QM/MM tools to describe conformational dynamics and chemical reactivity, with applications to biomedically important enzymes such as protein tyrosine phosphatases, or quorum-quenching lactonases that can be used to disrupt bacterial communication. We are also particularly interested in the modular evolution of new protein scaffolds with catalytic function, as well as the incorporation of non-canonical amino acids into industrially relevant enzymes for design purposes.

Area of Specialization

Computational biology, computational chemistry, enhanced sampling approaches, protein evolution, enzyme design