Abstract
Antibiotics are chemotherapeutic agents with activity against microorganisms, for example bacteria, fungi, or protozoa, used for the treatment of many types of diseases. Binding of antibiotics to serum proteins in human plasma is a major determinant of their pharmacodynamic and pharmacokinetic behavior and, consequently, can affect their systemic distribution in the body. Here, the predicted binding rates of ceftazidime and 13 other pharmacological agents classified as antibiotics to plasma proteins (percentage fraction bound; PFB) were evaluated by use of 3D-QSAR models. We attempted to establish the contribution of hydrogen bond donor/acceptor and hydrophobic properties supplied by electrostatic fields to the PFB. Significant cross-validated correlation q 2 (0.5–0.7) and the fitted correlation r 2 (0.7–0.97) coefficients revealed that these models have reasonable power to predict the design 19 new antibiotics using ceftazidime as template, these compounds being our suggestion for further studies.
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We thank the Romanian VIASAN program for financial support.
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Avram, S., Duda-Seiman, D.M., Duda-Seiman, C. et al. Predicted binding rate of new cephalosporin antibiotics by a 3D-QSAR method: a new approach. Monatsh Chem 141, 589–597 (2010). https://doi.org/10.1007/s00706-010-0294-4
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DOI: https://doi.org/10.1007/s00706-010-0294-4