The
binding of calcium ions (Ca2+) to the calcium-binding
proteins (CBPs) controls a plethora of regulatory processes. Among
the roles played by CBPs in several diseases, the onset and progress
of some cardiovascular diseases are caused by mutations in calmodulin
(CaM), an important member of CBPs. Rationalization and prediction
of the binding affinity of Ca2+ ions to the CaM can play
important roles in understanding the origin of cardiovascular diseases.
However, there is no robust structure-based computational method for
predicting the binding affinity of Ca2+ ions to the different
forms of CBPs in general and CaM in particular. In the current work,
we have devised a fast yet accurate computational technique to accurately
calculate the binding affinity of Ca2+ to the different
forms of CaM. This method combines the well-known molecular mechanics
Poisson–Boltzmann surface area (MM-PBSA) method and a charge
scaling approach developed by previous authors that takes care of
the polarization of CaM and Ca2+ ions. Our detailed analysis
of the different components of binding free energy shows that subtle
changes in electrostatics and van der Waals contribute to the difference
in the binding affinity of mutants from that of the wild type (WT),
and the charge scaling approach is superior in calculating these subtle
changes in electrostatics as compared to the nonpolarizable force
field used in this work. A statistically significant regression model
made from our binding free energy calculations gives a correlation
coefficient close to 0.8 to the experimental results. This structure-based
predictive model can open up a new strategy to understand and predict
the binding of Ca2+ to the mutants of CBPs, in general.