Drug-polymer compatibility prediction via COSMO-RS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F24%3A43930722" target="_blank" >RIV/60461373:22340/24:43930722 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0378517324008470" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378517324008470</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ijpharm.2024.124613" target="_blank" >10.1016/j.ijpharm.2024.124613</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Drug-polymer compatibility prediction via COSMO-RS

Popis výsledku v původním jazyce

In this work, the solid-liquid equilibrium (SLE) curve for ten active pharmaceutical ingredients (APIs) with the polymer polyvinylpyrrolidone (PVP) K12 was purely predicted using the Conductor-like Screening Model for Real Solvents (COSMO-RS). In particular, two COSMO-RS-based strategies were followed (i.e., a traditional approach and an expedited approach), and their performances were compared. The veracity of the predicted SLE curves was assessed via a comparison with their respective SLE dataset that was obtained using the step-wise dissolution (S-WD) method. Overall, the COSMO-RS-based API-PVP K12 SLE curves were in satisfactory agreement with the S-WD-based data points. Of the twenty predicted SLE curves, only two were found to be in strong disagreement with the corresponding experimental values (both modeled using the expedited approach). Hence, it was recommended to use the traditional approach when predicting the API-polymer SLE curve. At the present moment, COSMO-RS may be an effective computational tool for the expeditious screening of API-polymer compatibility, particularly in the case of promising novel APIs, for which experimental datasets are likely limited or non-existent.

Název v anglickém jazyce

Drug-polymer compatibility prediction via COSMO-RS

Popis výsledku anglicky

In this work, the solid-liquid equilibrium (SLE) curve for ten active pharmaceutical ingredients (APIs) with the polymer polyvinylpyrrolidone (PVP) K12 was purely predicted using the Conductor-like Screening Model for Real Solvents (COSMO-RS). In particular, two COSMO-RS-based strategies were followed (i.e., a traditional approach and an expedited approach), and their performances were compared. The veracity of the predicted SLE curves was assessed via a comparison with their respective SLE dataset that was obtained using the step-wise dissolution (S-WD) method. Overall, the COSMO-RS-based API-PVP K12 SLE curves were in satisfactory agreement with the S-WD-based data points. Of the twenty predicted SLE curves, only two were found to be in strong disagreement with the corresponding experimental values (both modeled using the expedited approach). Hence, it was recommended to use the traditional approach when predicting the API-polymer SLE curve. At the present moment, COSMO-RS may be an effective computational tool for the expeditious screening of API-polymer compatibility, particularly in the case of promising novel APIs, for which experimental datasets are likely limited or non-existent.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10403 - Physical chemistry

Projekt

<a href="/cs/project/GA22-07164S" target="_blank" >GA22-07164S: Racionální návrh systémů pro dodávání léčiv založených na laditelných biodegradabilních polymerech: iterativní in silico a experimentální postup</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Pharmaceutics

ISSN

0378-5173

e-ISSN

1873-3476

Svazek periodika

664

Číslo periodika v rámci svazku

25. října 2024

Stát vydavatele periodika

ZA - Jihoafrická republika

Počet stran výsledku

8

Strana od-do

124613

Kód UT WoS článku

001312660800001

EID výsledku v databázi Scopus

2-s2.0-85203018892