Cover picture: Parameters of common biophysical models often cannot be uniquely determined when constrained by experimental data. The curved contours of this two-dimensional error surface indicate that the parameters of a two-site sequential binding model cannot be accurately estimated from fitting typical binding curves. In this issue, Hines et al. (401–416) demonstrate that this pitfall is present even in exceedingly simple biophysical systems and describe efficient methods to determine parameter identifiability.
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Differential regulation of CaV1.2 channels by cAMP-dependent protein kinase bound to A-kinase anchoring proteins 15 and 79/150
AKAP79/150 and AKAP15 exert functionally antagonistic effects on CaV1.2 channels.
Divergence of Ca2+ selectivity and equilibrium Ca2+ blockade in a Ca2+ release-activated Ca2+ channel
The Ca2+ selectivity of CRAC channels depends on the kinetics of ion entry and exit as well as the steady-state Ca2+ binding affinity.
Arachidonic acid (AA)-regulated Ca2+ (ARC) currents and leukotriene C4 (LTC4)-regulated Ca2+ (LRC) currents are mediated by the same populations of proteins.
Mutation of I696 and W697 in the TRP box of vanilloid receptor subtype I modulates allosteric channel activation
Residues I696 and W697 are crucial to coupling between the TRPV1 ligand- and voltage-sensing domains and the channel pore.
Continuous helices extending from the transmembrane region to the cytoplasmic region form a dimeric interface to regulate activation of the voltage-gated H+ channel.
Myosim, a computer model of muscle contraction, includes molecular-level effects and incorporates dynamic coupling of myosin heads and binding sites.
Methods and Approaches
A Bayesian approach can be used to determine the reliability of estimated parameters in biophysical models.