Estimation of angiotensin-converting enzyme inhibitors protein binding degree using chromatographic hydrophobicity data.

SUMMARY Introduction Angiotensin-converting enzyme (ACE) inhibitors represent a significant group of drugs primarily used in the treatment of hypertension and congestive heart failure. Objective Selected ACE inhibitors (enalapril, quinapril, fosinopril, lisinopril, cilazapril) were studied in order to establish a fast and easy estimation method of their plasma protein binding degree based on their lipophilicity data. Methods Chromatographic hydrophobicity data (parameter C 0 ) were obtained on cellulose layers under conditions of normal-phase thin-layer chromatography (NPTLC), using different binary solvent systems. The ACE inhibitors lipophilicity descriptors (logP) values were calculated using the software package Virtual Computational Chemistry Laboratory. The ACE inhibitors plasma protein binding data were col- lected from relevant literature. Results ACE inhibitors protein binding data varied from negligible (lisinopril) to 99% (fosinopril). The calculated lipophilicity descriptors, logP KOWWIN values ranged from -0.94 (lisinopril) to 6.61 (fosinopril). Good correlations were established between plasma protein binding values and calculated logP KOWWIN values (R 2 =0.8026) as well as chromatographic hydrophobicity data, C 0 parameters (R 2 =0.7662). Even though good correlation coefficients (R2 ) were obtained in both relations, unacceptable probability value with p>0.05 was found in relation between protein binding data and calculated logP KOWWIN values. Subsequently, taking into consideration the request for probability value lower than 0.05, a better rela- tionship was observed between protein binding data and chromatographically obtained hydrophobicity parameters C 0 values. Conclusion Cellulose layers are easily available and cost effective sorbent to assess hydrophobicity. Experimentally obtained data on ACE inhibitors hydrophobicity and plasma protein binding estimation are important parameters in evaluating bioavailability of these drugs.