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Pike, D. T. S.

Publications and source records attributed to Pike, D. T. S..

2 recordsLinked to original sources

Correlated dynamics, reactive conformations and non-Arrhenius behaviour in the temperature-dependence of enzyme activity: triosephosphate isomerase

Heat capacity changes are increasingly recognised as crucial for understanding the temperature dependence of enzyme-catalysed reaction rates. Here, we combine experiments and molecular dynamics simulations to investigate triosephosphate isomerase (TIM, TPI) from psychrophilic, mesophilic and thermophilic organisms. Kinetic data show clear curvature in rate-temperature plots, particularly for the cold-adapted enzyme, independent of unfolding. This non-Arrhenius behaviour is accounted for by Macromolecular Rate Theory (MMRT), implying an activation heat capacity, largest for the psychrophile. Simulations reveal the molecular origins of these differences, showing significant conformational and dynamical changes between reactant and transition states in the cold-adapted enzyme, with a smaller activation heat capacity in the mesophilic enzyme, and near-zero for the thermophile. Transition-state-like conformations and reorganized correlated dynamics underlie these adaptations. These results demonstrate that dynamical differences between crucial states along the reaction pathway play a key role in determining the optimum temperature of activity for this archetypal enzyme.

biochemistry↗

A dynamical-nonequilibrium molecular dynamics (D-NEMD) alanine scanning approach for identifying allosteric positions in proteins

Allosteric effects are widespread in proteins, but predicting the impact of sequence substitutions at positions distant from ligand-binding or enzyme active sites remains challenging, as their effects are mediated through complex dynamical networks. Pinpointing such positions experimentally is labour-intensive and low throughput. Equilibrium molecular dynamics (MD) simulations are useful: analysis methods can identify functional distal sites and networks, while free energy simulations can predict effects on stability or binding, given sufficient sampling; such simulations are typically time-consuming, requiring extensive simulation of each individual mutant. Here, we introduce a dynamical-nonequilibrium MD (D-NEMD) protocol using alanine substitutions as targeted perturbations to identify distal positions that influence enzyme function. Using the well characterised class A {beta}-lactamase KPC-2 as a test system, we show that D-NEMD distinguishes functional from non-functional sites based on whether substitutions generate structured, long-range responses that reach the active site. KPC-2 is clinically important due to its broad substrate spectrum and the emergence of resistance-associated point mutations, many of which act through non-local effects on catalytic residues. Alanine substitutions at positions 179 and 164, which disrupt the {Omega}-loop salt bridge, trigger persistent structural responses propagating through the protein and reach both catalytic residues and the oxyanion-hole backbone. Likewise, alanine substitution at position 220 elicits pronounced responses extending to the active-site {beta}-sheet and key loops, consistent with its known role in substrate specificity. In contrast, substitution at position 276--mutations of which have negligible kinetic impact--produces only local displacements with minimal propagation and no effect on catalytically relevant regions. These differential response patterns align with experimentally observed resistance phenotypes. D-NEMD therefore provides a fast, generalisable, and predictive approach for identifying allosterically connected distal positions. The protocol complements equilibrium MD, is straightforward to implement, and offers a tractable route for prioritising candidate sites for mechanistic study or future mutational scanning efforts. Statement of significanceWe introduce a dynamical-nonequilibrium MD (D-NEMD) protocol that uses alanine substitutions as the perturbation to identify residues, particularly those distal to an active or binding site, that modulate biological activity. We test this approach on the clinically important {beta}-lactamase KPC-2: it distinguishes positions that elicit long-range responses that reach catalytic residues from another with only local effects, in agreement with experiment. The D-NEMD approach allows for tests of statistical robustness of responses to mutation, enabling prioritisation of candidate residues for experimental mutation. This should aid in identifying distal sites that may influence enzyme activity or serve other allosteric roles. The approach is generalisable to other proteins of biomedical and biotechnological interest.

biochemistry↗