The interaction of 14 anti‐inflammatory drugs with human serum albumin (HSA) was investigated using fluorescence quenching, molecular docking studies, and quantitative structure–activity relationship (QSAR) methodology. Binding of anti‐inflammatory drugs to HSA plays a fundamental role in their transport, distribution, delivery, and elimination. Binding constants of these drugs to HSA, obtained using the fluorescence quenching method, were within the range 0.01 × 104 M−1 (acetaminophen) to 1881.05 × 104 M−1 (meloxicam). Binding sites and binding constants of these anti‐inflammatory drugs were estimated using molecular docking. Inspection of the obtained values for docking score, logKb and Kb, showed that the drugs in this data set have a relatively strong binding constant for HSA. QSAR modelling was applied for binding constants obtained from fluorescence quenching and theoretical molecular descriptors. This modelling led to a linear two‐parameter model with a correlation coefficient of 0.95 and adequate robustness. The descriptor results showed the importance of a bonding network and electronegativity as the discriminative structural factors in binding affinity for the HSA molecule.
In this work, biopartitioning micellar liquid chromatography (BMLC) was used to the assessment of affinity binding of 13 pain‐relief drugs to human serum albumin (HSA) molecules. The values of BMLC retention factors were determined by aqueous CTAB solution as mobile phase. Then, these values were correlated to some molecular structural descriptors by using a quantitative structure retention relationship methodology. The statistical quality of the obtained models was evaluated by different validation tests. Also, selected descriptors were correlated with protein–drug binding values and resulted in correlation coefficients higher than 0.8. Results indicated that selected descriptors can address the most important structural features influencing the binding affinity of studied drugs to HSA.
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