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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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Literature Corpus work
eb9d7535-ad2f-5bf8-88f8-be4fc7641b49
DOI
10.1101/2024.05.05.592323
Open publication

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Pred-AHCP: Robust feature selection enabled Sequence-Specific Prediction of Anti-Hepatitis C Peptides via Machine LearningDOI 10.1101/2024.05.05.592323
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