Article
Pred-AHCP: Robust feature selection enabled Sequence-Specific Prediction of Anti-Hepatitis C Peptides via Machine Learning
2024-05-05
Abstract excerpt
Every year, an estimated 1.5 million people worldwide contract Hepatitis C (HepC), a significant contributor to liver disease. Although many studies have explored machine learning’s potential to predict antiviral peptides, very few have addressed predicting peptides against specific viruses such as Hepatitis C. In this study, we demonstrate the use of machine learning (ML) algorithms to predict peptides that are e...
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Identifiers and source
- Literature Corpus work
- eb9d7535-ad2f-5bf8-88f8-be4fc7641b49
- DOI
- 10.1101/2024.05.05.592323
