Background:The translocation of the Bordetella pertussis CyaA toxin across membrane is still poorly understood. Results: A membrane-active peptide isolated from the CyaA toxin is characterized by biophysical approaches. Conclusion:The ␣-helical peptide is inserted in plane and induces membrane permeabilization. Significance: The membrane-destabilizing activity of this peptide may assist the initial steps of the CyaA translocation process.

The catalytic adenyl cyclase (AC) domain of the protein CyaA from Bordetella pertussis is activated by interaction with the C terminal lobe of calmodulin (C-CaM). The AC/C-CaM complex displays an elongated shape, but hydrodynamics measurements on the isolated AC domain allowed to characterize the shape of the protein as spherical. Here, we study by molecular dynamics simulations the complexes between AC and the apo and Ca(2+)-loaded C-CaM, as well as the isolated AC, to characterize the features of AC conformational variability and of AC/C-CaM interaction. The removal of calcium ions from C-CaM increases the AC flexibility, but the removal of C-CaM induces a dramatic drift of the AC conformation. Isolated AC conformations show a general tendency to become less elongated, as the two protein extremities (regions SA and CB) tend to get closer. An analysis of the energetic influences between the C-CaM and the AC regions shows a simple influence scheme, in agreement with the high affinity of AC to CaM. In this scheme, a single influence is observed from C-CaM to the region CA of the AC domain. This influence is correlated to the presence of hydrogen bonds involving residues from C-CaM, and from regions CA, C-terminal tail, and catalytic loop of AC. This study reveals a C-CaM/AC interaction picture where C-CaM stabilizes AC by a steric hindrance on the conformational drift of SA, whereas the Ca(2+) ions allow further stabilization by the establishment of a hydrogen bond network extending from C-CaM to the AC catalytic loop.

Macroscopic pK values were calculated for all compounds in the SAMPL6 blind prediction challenge, based on quantum chemical calculations with a continuum solvation model and a linear correction derived from a small training set. Microscopic pK values were derived from the gas-phase free energy difference between protonated and deprotonated forms together with the Conductor-like Polarizable Continuum Solvation Model and the experimental solvation free energy of the proton. pH-dependent microstate free energies were obtained from the microscopic pKs with a maximum likelihood estimator and appropriately summed to yield macroscopic pK values or microstate populations as function of pH. We assessed the accuracy of three approaches to calculate the microscopic pKs: direct use of the quantum mechanical free energy differences and correction of the direct values for short-comings in the QM solvation model with two different linear models that we independently derived from a small training set of 38 compounds with known pK. The predictions that were corrected with the linear models had much better accuracy [root-mean-square error (RMSE) 2.04 and 1.95 pK units] than the direct calculation (RMSE 3.74). Statistical measures indicate that some systematic errors remain, likely due to differences in the SAMPL6 data set and the small training set with respect to their interactions with water. Overall, the current approach provides a viable physics-based route to estimate macroscopic pK values for novel compounds with reasonable accuracy.