PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features

Research article (Scientific Reports, 2023) · cited 37× · AI/ML
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PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features

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PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features. Retrieved May 24, 2026, from https://4ort.xyz/entity/pepcnn-deep-learning-tool-for-predicting-peptide-binding-residues-in-proteins-using-sequence-structural-and-language-mod
MLA “PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pepcnn-deep-learning-tool-for-predicting-peptide-binding-residues-in-proteins-using-sequence-structural-and-language-mod.
BibTeX @misc{4ortxyz_pepcnn-deep-learning-tool-for-predicting-peptide-binding-residues-in-proteins-using-sequence-structural-and-language-mod_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features}}, year = {2026}, url = {https://4ort.xyz/entity/pepcnn-deep-learning-tool-for-predicting-peptide-binding-residues-in-proteins-using-sequence-structural-and-language-mod}, note = {Accessed: 2026-05-24}}
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