The Application of Machine Learning in Predicting the Permeability of Drugs Across the Blood Brain Barrier
| Author | Sogand Jafarpour | en |
| Author | Maryam Asefzadeh | en |
| Author | Ehsan Aboutaleb | en |
| Issued Date | 2024-12-31 | en |
| Abstract | The inefficiency of some medications to cross the blood-brain barrier (BBB) is often attributed to their poor physicochemical or pharmacokinetic properties. Recent studies have demonstrated promising outcomes using machine learning algorithms to predict drug permeability across the BBB. In light of these findings, our study was conducted to explore the potential of machine learning in predicting the permeability of drugs across the BBB. | en |
| DOI | https://doi.org/10.5812/ijpr-149367 | en |
| Keyword | Blood-Brain Barrier | en |
| Keyword | Permeability | en |
| Keyword | B3DB | en |
| Keyword | Machine Learning | en |
| Publisher | Brieflands | en |
| Title | The Application of Machine Learning in Predicting the Permeability of Drugs Across the Blood Brain Barrier | en |
| Type | Research Article | en |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- ijpr-23-1-149367-publish-pdf.pdf
- Size:
- 929.18 KB
- Format:
- Adobe Portable Document Format
- Description:
- Article/s PDF