Literature DB >> 33742065

A predictive PC-SAFT EOS based on COSMO for pharmaceutical compounds.

Samane Zarei Mahmoudabadi1, Gholamreza Pazuki2.   

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.

Entities:  

Year:  2021        PMID: 33742065     DOI: 10.1038/s41598-021-85942-8

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  4 in total

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Authors:  Feelly Ruether; Gabriele Sadowski
Journal:  J Pharm Sci       Date:  2009-11       Impact factor: 3.534

2.  pKa and solubility of drugs in water, ethanol, and 1-octanol.

Authors:  Urszula Domańska; Aneta Pobudkowska; Aleksandra Pelczarska; Paweł Gierycz
Journal:  J Phys Chem B       Date:  2009-07-02       Impact factor: 2.991

3.  Prediction of pharmaceutical solubility Via NRTL-SAC and COSMO-SAC.

Authors:  Hsien-Hsin Tung; Jose Tabora; Nara Variankaval; Daniel Bakken; Chau-Chyun Chen
Journal:  J Pharm Sci       Date:  2008-05       Impact factor: 3.534

  4 in total
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Authors:  Dmitry Tolmachev; Natalia Lukasheva; Ruslan Ramazanov; Victor Nazarychev; Natalia Borzdun; Igor Volgin; Maria Andreeva; Artyom Glova; Sofia Melnikova; Alexey Dobrovskiy; Steven A Silber; Sergey Larin; Rafael Maglia de Souza; Mauro Carlos Costa Ribeiro; Sergey Lyulin; Mikko Karttunen
Journal:  Int J Mol Sci       Date:  2022-01-07       Impact factor: 5.923

2.  Density Functional Theory Interaction Study of a Polyethylene Glycol-Based Nanocomposite with Cephalexin Drug for the Elimination of Wound Infection.

Authors:  Oluwasegun Chijioke Adekoya; Gbolahan Joseph Adekoya; Rotimi Emmanuel Sadiku; Yskandar Hamam; Suprakas Sinha Ray
Journal:  ACS Omega       Date:  2022-09-12
  2 in total

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