without changing your settings we'll assume you are happy to receive all RSC cookies.
You can change your cookie settings by navigating to our Privacy and Cookies page and following the instructions. These instructions
are also obtainable from the privacy link at the bottom of any RSC page.
As a means to aid in the design of 3-hydroxypyridin-4-ones (HPOs) intended for use as therapeutic Fe3+ chelating agents, a novel methodology has been developed using quantum mechanical (QM) calculations for predicting the iron binding affinities of the compounds (more specifically, their log K1 values). The reported/measured HPO log K1 values were verified through their correlation with the corresponding sum of the compounds’ ligating group pKa values. Using a training set of eleven HPOs with known log K1 values, reliable predictions are shown to be obtained with QM calculations using the B3LYP/6-31+G(d)/CPCM model chemistry (with Bondi radii, and water as solvent). With this methodology, the observed log K1 values for the training set compounds are closely matched by the predicted values, with the correlation between the observed and predicted values giving r2 = 0.9. Predictions subsequently made by this method for a test set of 42 HPOs of known log K1 values gave predicted values accurate to within ±0.32 log units. In order to further investigate the predictive power of the method, four novel HPOs were synthesised and their log K1 values were determined experimentally. Comparison of these predicted log K1 values against the measured values gave absolute deviations of 0.22 (13.87 vs. 14.09), 0.02 (14.31 vs. 14.29), 0.12 (14.62 vs. 14.50), and 0.13 (15.04 vs. 15.17). The prediction methodology reported here is the first to be provided for predicting the absolute log K1 values of iron-chelating agents in the absence of pKa values.
Fetching data from CrossRef. This may take some time to load.