Projects per year
Description
This dataset contains Hansen solubility parameter (HSP) calculations evaluating the compatibility of naproxen with a selection of pharmaceutically relevant polymers. Polymers are represented as a set of chemical subunits (fragmentation by functional groups / substituents), and Hansen solubility parameters (δD, δP, δH) for each subunit were estimated using the Yamamoto molecular-break (Y-MB) method. Naproxen solubility parameters were determined independently using the Y-MB and the Van Krevelen (VK) methods.
The dataset includes the computed solubility parameters for naproxen (both methods), the subunit and their average solubility parameters for each polymer, the computed Hansen distances (Ra) between naproxen and each polymer subunit, and 3D visualisations of the HSP spheres (naproxen-centred spheres with a radius of 10 used as the solubility cutoff).
Method. Polymers were decomposed into functional substituent fragments, and SMILES strings for each subunit were generated manually to ensure accurate chemical representation. Polymer subunit HSP values were computed using the Y-MB method, while naproxen was evaluated using both Y-MB and VK approaches; the latter applied Fedors group contributions yielding a molar volume of ~250.6 cm³/mol (Fedors groups: Ph: 1, 1,2-Ph: 1, O: 1, CH₃: 2, CH(COOH): 1, COOH: 1). Hansen distances were calculated from the difference between naproxen’s and each polymer subunit’s solubility parameters using the standard Hansen distance equation, and compatibility was assessed using an Ra cut-off of 10 based on experimental solubility results and literature. Naproxen-centred HSP spheres were plotted in 3D (Ro = 10) to visualise overlap between drug and polymer coordinates.
Data. The dataset contains: (1) CSV file of naproxen SMILES with HSP values from Y-MB and VK methods, polymers and their subunits with manually constructed SMILES with HSP values from Y-MB method; (2) Hansen distance values comparing naproxen to each polymer subunit, with a cut-off at Ra ≤ 10. Accompanying PNG files include 3D visualisations of naproxen-centred HSP spheres and all polymer coordinates (averaged subunits).
The dataset includes the computed solubility parameters for naproxen (both methods), the subunit and their average solubility parameters for each polymer, the computed Hansen distances (Ra) between naproxen and each polymer subunit, and 3D visualisations of the HSP spheres (naproxen-centred spheres with a radius of 10 used as the solubility cutoff).
Method. Polymers were decomposed into functional substituent fragments, and SMILES strings for each subunit were generated manually to ensure accurate chemical representation. Polymer subunit HSP values were computed using the Y-MB method, while naproxen was evaluated using both Y-MB and VK approaches; the latter applied Fedors group contributions yielding a molar volume of ~250.6 cm³/mol (Fedors groups: Ph: 1, 1,2-Ph: 1, O: 1, CH₃: 2, CH(COOH): 1, COOH: 1). Hansen distances were calculated from the difference between naproxen’s and each polymer subunit’s solubility parameters using the standard Hansen distance equation, and compatibility was assessed using an Ra cut-off of 10 based on experimental solubility results and literature. Naproxen-centred HSP spheres were plotted in 3D (Ro = 10) to visualise overlap between drug and polymer coordinates.
Data. The dataset contains: (1) CSV file of naproxen SMILES with HSP values from Y-MB and VK methods, polymers and their subunits with manually constructed SMILES with HSP values from Y-MB method; (2) Hansen distance values comparing naproxen to each polymer subunit, with a cut-off at Ra ≤ 10. Accompanying PNG files include 3D visualisations of naproxen-centred HSP spheres and all polymer coordinates (averaged subunits).
| Date made available | 21 Nov 2025 |
|---|---|
| Publisher | Riga Stradins University |
| Date of data production | 1 Apr 2024 - 6 Nov 2024 |
| Geographical coverage | Riga Stradins University, Riga, Latvia |
Field of Science
- 1.4 Chemical sciences
- 2.5 Materials engineering
- 3.3 Health sciences
- 2.4 Chemical engineering
- 4.4 Agricultural biotechnology
- 2.9 Industrial biotechnology
Keywords
- Chemistry
- Medicine, Health and Life Sciences
- Hansen solubility parameters
- Yamamoto molecular-break
- Van Krevelen
- Fedors molar volume
- Naproxen
- polymers
- amorphous solid dispersion
- Ra distance
- HSP sphere
- solubility cutoff
- polymer-drug compatibility
Projects
- 1 Active
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Elucidation of the mechanism of amorphization and dissolution of bad glass former as a function of drug-polymer interaction and preparation method
Mohylyuk, V. (Project leader), Viter, R. (Partner's coordinator), Žogota, M. (Assistant (student)), Horvath, Z. M. (Expert), Kukuls, K. (Expert), Gurkina, K. (Assistant (student)), Bērziņš, A. (Expert), Zabolotnii, V. (Assistant (student)) & Borovskis, A. (Assistant (student))
1/01/25 → 31/12/27
Project: Fundamental and Applied Research Programme
Datasets
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Turbidity Test of Polymers in Organic Solvents
Gurkina, K. (Creator), Kačanovs, R. (Creator), Horvath, Z. M. (Creator) & Mohylyuk, V. (Creator), Riga Stradins University, 5 Dec 2025
DOI: 10.48510/fk2/nmxlh2, https://doi.org/10.48510/FK2/NMXLH2
Dataset