Support Vector Machine model for hERG inhibitory activities based on the integrated hERG database using descriptor selection by NSGA-II
Abstract Assessing the hERG liability in the early stages of drug discovery programs is important. The recent increase of hERG-related information in public databases enabled various successful applications of machine learning techniques to predict hERG inhibition. However, most of these researches...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2019
|
| Subjects: | |
| Online Access: | https://doaj.org/article/095e0068fd624717acf73f01c55aecca |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!