Key result
Linkage principles and numerical simulations demonstrated that the shift of the charge-voltage curve between zero and saturating ligand concentration directly estimates the interaction energy.
These emerging linkage principles enable the estimation of interaction energies in polymodal ion channels, facilitating future high-throughput mutagenesis studies.
May enable interaction energy estimation in polymodal ion channels; leaves open validation for high-throughput mutagenesis studies.
Many ion channels are modulated by multiple stimuli, which allow them to integrate a variety of cellular signals and precisely respond to physiological needs. Understanding how these different signaling pathways interact has been a challenge in part because of the complexity of underlying models. In this study, we analyzed the energetic relationships in polymodal ion channels using linkage principles. We first show that in proteins dually modulated by voltage and ligand, the net free-energy change can be obtained by measuring the charge-voltage (Q-V) relationship in zero ligand condition and the ligand binding curve at highly depolarizing membrane voltages. Next, we show that the voltage-dependent changes in ligand occupancy of the protein can be directly obtained by measuring the Q-V curves at multiple ligand concentrations. When a single reference ligand binding curve is available, this relationship allows us to reconstruct ligand binding curves at different voltages. More significantly, we establish that the shift of the Q-V curve between zero and saturating ligand concentration is a direct estimate of the interaction energy between the ligand- and voltage-dependent pathway. These free-energy relationships were tested by numerical simulations of a detailed gating model of the BK channel. Furthermore, as a proof of principle, we estimate the interaction energy between the ligand binding and voltage-dependent pathways for HCN2 channels whose ligand binding curves at various voltages are available. These emerging principles will be useful for high-throughput mutagenesis studies aimed at identifying interaction pathways between various regulatory domains in a polymodal ion channel.
No takes yet. Share an insight, caveat, or question.
Chowdhury et al. (2012) studied Polymodal ion channels. Numerical simulations and linkage principles was evaluated on Interaction energy between ligand- and voltage-dependent pathways. Linkage principles and numerical simulations demonstrated that the shift of the charge-voltage curve between zero and saturating ligand concentration directly estimates the interaction energy.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: