A machine learning-assisted design for adjusting the solubility of ibuprofen-related binary compounds: a data driven approach
Monitoring the solubilities of pharmaceuticals is a critically important bottleneck for their development, since it influences their efficacy and bioavailability.
Authors
- Ashraf Y. Elnaggar
- Hussein Ali Kadhim Kyhoiesh (ORCID: https://orcid.org/0000-0001-9705-9196)
- Islam H. El Azab (ORCID: https://orcid.org/0000-0003-1548-1102)
- Mohamed Mahmoud (ORCID: https://orcid.org/0000-0002-6222-6748)
- Wissam A. Hweidi
- Mohanad H. Najm
- Dawood Imad Ibrahim
Institutions
- Taif University (SA)
- Thi Qar University (IQ)
- Al-Muthanna University (IQ)
Publication Details
- Journal
- New Journal of Chemistry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5nj00114e
- Citations
- 4
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 6.02