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J N Bright

Publications and source records attributed to J N Bright.

2 recordsLinked to original sources

Kv channel S6 helix as a molecular switch: simulation studies.

Ion channels form pores of nanoscopic dimensions in biological membranes and play a key role in the physiology of cells. The majority of ion channels are gated, i.e. they contain a molecular switch that allows a transition between a closed (functionally 'off') and open (functionally 'on') state. Comparison of crystal structures of potassium channels suggest that the gating mechanism of voltage-gated potassium (Kv) channels involves a key role for the pore-lining S6 helix. There is a conserved PVP sequence motif in the S6 helix. Molecular dynamics simulations are used here to explore the conformational dynamics of the S6 helix hinge in models of fragments of a Kv channel, namely an S5-P-S6 monomer and an (S5-P-S6)4 tetramer. The latter is a model of the complete pore-forming domain of a Kv channel. All models were simulated embedded in an octane slab (a simple membrane mimetic). The results of these simulations indicate that the PVP motif may form a molecular hinge, even when the S6 helix forms part of a more complex model. The conformational dynamics of S6 are modulated by the remainder of protein, but it remains flexible. These simulation results are compatible with a channel gating model in which S6 bends in the vicinity of the PVP motif in addition to the region around the conserved glycine (G466) that is N-terminal to the PVP motif. This model is supported by comparison of the Kv S6 models with the S6 helix of the bacterial KvAP channel crystal structure. Thus, K channel gating may depend on a complex nanoswitch with three rigid helical sections linked by two molecular hinges.

Journal Article↗

Predicting properties of intrinsically unstructured proteins.

There is increasing evidence that intrinsically unstructured proteins or protein domains have important biological functions. These types of proteins may be productively analyzed using polymer theory developed to predict global physical properties of polymers. In these theories molecular detail is "coarse grained" out of the models, and replaced with a small number of parameters that characterize the polymer. This reduction in complexity allows extremely large systems to be studied. In the case of simulations, the time scales accessible also increase significantly. Here we discuss the application of polymer theory to unstructured proteins, and consider how to classify proteins within a polymer framework. We then review polymer theory that is relevant to predicting functionally important properties, such as radius of gyration, height of a polymer brush and force required to compress a polymer brush.

Biopolymers↗