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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Samane Zarei Mahmoudabadi, Gholamreza Pazuki
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
R
Q
Accès en ligne:https://doaj.org/article/5a008990516143be9d5a9fe605439136
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
id oai:doaj.org-article:5a008990516143be9d5a9fe605439136
record_format dspace
spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Samane Zarei Mahmoudabadi
Gholamreza Pazuki
A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds
description 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