A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds
Abstract The present study was conducted to develop a predictive type of PC-SAFT EOS by incorporating the COSMO computations. With the proposed model, the physical adjustable inputs to PC-SAFT EOS were determined from the suggested correlations with dependency to COSMO computation results. Afterward...
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Nature Portfolio
2021
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oai:doaj.org-article:5a008990516143be9d5a9fe6054391362021-12-02T17:05:11ZA predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds10.1038/s41598-021-85942-82045-2322https://doaj.org/article/5a008990516143be9d5a9fe6054391362021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85942-8https://doaj.org/toc/2045-2322Abstract The present study was conducted to develop a predictive type of PC-SAFT EOS by incorporating the COSMO computations. With the proposed model, the physical adjustable inputs to PC-SAFT EOS were determined from the suggested correlations with dependency to COSMO computation results. Afterwards, we tested the reliability of the proposed predictive PC-SAFT EOS by modeling the solubility data of certain pharmaceutical compounds in pure and mixed solvents and their octanol/water partition coefficients. The obtained RMSE based on logarithmic scale for the predictive PC-SAFT EOS was 1.435 for all of the solubility calculations. The reported values (1.435) had a lower value than RMSE for COSMO-SAC model (4.385), which is the same as that for RMSE for COSMO-RS model (1.412). The standard RMSE for octanol/water partition coefficient of the investigated pharmaceutical compounds was estimated to be 1.515.Samane Zarei MahmoudabadiGholamreza PazukiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021) |
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Medicine R Science Q Samane Zarei Mahmoudabadi Gholamreza Pazuki A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds |
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Abstract The present study was conducted to develop a predictive type of PC-SAFT EOS by incorporating the COSMO computations. With the proposed model, the physical adjustable inputs to PC-SAFT EOS were determined from the suggested correlations with dependency to COSMO computation results. Afterwards, we tested the reliability of the proposed predictive PC-SAFT EOS by modeling the solubility data of certain pharmaceutical compounds in pure and mixed solvents and their octanol/water partition coefficients. The obtained RMSE based on logarithmic scale for the predictive PC-SAFT EOS was 1.435 for all of the solubility calculations. The reported values (1.435) had a lower value than RMSE for COSMO-SAC model (4.385), which is the same as that for RMSE for COSMO-RS model (1.412). The standard RMSE for octanol/water partition coefficient of the investigated pharmaceutical compounds was estimated to be 1.515. |
format |
article |
author |
Samane Zarei Mahmoudabadi Gholamreza Pazuki |
author_facet |
Samane Zarei Mahmoudabadi Gholamreza Pazuki |
author_sort |
Samane Zarei Mahmoudabadi |
title |
A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds |
title_short |
A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds |
title_full |
A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds |
title_fullStr |
A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds |
title_full_unstemmed |
A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds |
title_sort |
predictive pc-saft eos based on cosmo for pharmaceutical compounds |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/5a008990516143be9d5a9fe605439136 |
work_keys_str_mv |
AT samanezareimahmoudabadi apredictivepcsafteosbasedoncosmoforpharmaceuticalcompounds AT gholamrezapazuki apredictivepcsafteosbasedoncosmoforpharmaceuticalcompounds AT samanezareimahmoudabadi predictivepcsafteosbasedoncosmoforpharmaceuticalcompounds AT gholamrezapazuki predictivepcsafteosbasedoncosmoforpharmaceuticalcompounds |
_version_ |
1718381791993135104 |