Pred-AHCP: Robust feature selection enabled Sequence Specific Prediction of Anti-Hepatitis C Peptides via Machine Learning
Akash Saraswat, Utsav Sharma, Aryan Gandotra, Lakshit Wasan, Sainithin Artham, Arijit Maitra, Bipin Singh
This paper develops a machine learning model to predict anti-Hepatitis C peptides using sequence features, achieving 90% accuracy and identifying key physicochemical properties as predictors.
Journal of Chemical Information and Modeling · Nov 6, 2024Peer-reviewedBioinformatics