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A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds
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 tes...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979706/ https://www.ncbi.nlm.nih.gov/pubmed/33742065 http://dx.doi.org/10.1038/s41598-021-85942-8 |
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author | Mahmoudabadi, Samane Zarei Pazuki, Gholamreza |
author_facet | Mahmoudabadi, Samane Zarei Pazuki, Gholamreza |
author_sort | Mahmoudabadi, Samane Zarei |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7979706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79797062021-03-25 A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds Mahmoudabadi, Samane Zarei Pazuki, Gholamreza Sci Rep Article 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. Nature Publishing Group UK 2021-03-19 /pmc/articles/PMC7979706/ /pubmed/33742065 http://dx.doi.org/10.1038/s41598-021-85942-8 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mahmoudabadi, Samane Zarei Pazuki, Gholamreza A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds |
title | 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_short | A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds |
title_sort | predictive pc-saft eos based on cosmo for pharmaceutical compounds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979706/ https://www.ncbi.nlm.nih.gov/pubmed/33742065 http://dx.doi.org/10.1038/s41598-021-85942-8 |
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