StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors
| dc.contributor.author | Aijaz Ahmad Malik | |
| dc.contributor.author | Warot Chotpatiwetchkul | |
| dc.contributor.author | Chuleeporn Phanus‐umporn | |
| dc.contributor.author | Chanin Nantasenamat | |
| dc.contributor.author | Phasit Charoenkwan | |
| dc.contributor.author | Watshara Shoombuatong | |
| dc.date.accessioned | 2026-05-08T19:15:15Z | |
| dc.date.issued | 2021-10-1 | |
| dc.identifier.doi | 10.1007/s10822-021-00418-1 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/14938 | |
| dc.publisher | Journal of Computer-Aided Molecular Design | |
| dc.subject | Computational Drug Discovery Methods | |
| dc.subject | Hepatitis C virus research | |
| dc.subject | Machine Learning in Bioinformatics | |
| dc.title | StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors | |
| dc.type | Article |