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Highlights• Visual method achieves 67% sensitivity or recall (true positive rate) surpassing existing methods by over 35%.• Significant improvement in detection rate by using dataset with naturally occurring class imbalance.• Protein-peptide binding sites can be predicted using convolutional neural networks.• Novel method for transforming protein data into image-like representations.

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