Evaluation of Cross-Validation Strategies in Sequence-Based Binding Prediction Using Deep Learning
Sign Up to like & getrecommendations! Published in 2019 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.8b00663
Abstract: Binding prediction between targets and drug-like compounds through deep neural networks has generated promising results in recent years, outperforming traditional machine learning-based methods. However, the generalization capability of these classification models is still an issue… read more here.
Keywords: cross validation; binding prediction; learning; deep learning ... See more keywords
An automated benchmarking platform for MHC class II binding prediction methods
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DOI: 10.1093/bioinformatics/btx820
Abstract: Motivation Computational methods for the prediction of peptide-MHC binding have become an integral and essential component for candidate selection in experimental T cell epitope discovery studies. The sheer amount of published prediction methods-and often discordant… read more here.
Keywords: class binding; binding prediction; mhc; prediction methods ... See more keywords