COMPARISON OF PARTITION COEFFICIENT (LOG P) OF DRUGS: COMPUTATIONAL AND EXPERIMENTAL DATA STUDY

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Abstract

Objective: The objective of this study was to determine the accuracy of the Log P calculation program (OSIRIS®, SCF bio®, Molinspiration®, ALOGPS 2.1®, Molsoft®, ACD/logP®, PkCSM®, and Swiss ADME®) comparing it with the Log P value from the experimental results of the partition coefficient between n-octanol-water (Log P exp) taken from journals and databases. Methods: The predicted results of the computational Log P as the independent variable and the experimental Log P as the dependent variable then the data were analyzed statistically with the SPSS program to find the best correlation. Results: In this study, the result shows that the applications that have the best correlation with the experimental Log P are ACDlogP, MolLogP, and ALOGPS, with successive results of the R square are 0.928, 0.921, and 0.907, respectively. The results of this correlation ar e expressed by positive results and high-degree correlations are obtained. Conclusion: This result suggests that the Log P calculation program (ACDlogP, MolLogP, and ALOGPS) has a good correlation with the experimental Log P value in determining the lipophilicity of the compound.

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APA

Pratiwi, R., Mahmudah, D. I. A., Saptarini, N. M., Suherman, M., & Megantara, S. (2023). COMPARISON OF PARTITION COEFFICIENT (LOG P) OF DRUGS: COMPUTATIONAL AND EXPERIMENTAL DATA STUDY. International Journal of Applied Pharmaceutics, 15(Special Issue 2), 155–162. https://doi.org/10.22159/ijap.2023.v15s2.29

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