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pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model
Research article (Computational Biology and Chemistry, 2025) · cited 39× · AI/ML
pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model
Summary
pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model is a scholarly article[1].
Key Facts
pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model. Retrieved May 24, 2026, from https://4ort.xyz/entity/pacps-dnn-predicting-anticancer-peptides-using-novel-peptide-transformation-into-evolutionary-and-structure-matrix-based
MLA“pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pacps-dnn-predicting-anticancer-peptides-using-novel-peptide-transformation-into-evolutionary-and-structure-matrix-based.
BibTeX@misc{4ortxyz_pacps-dnn-predicting-anticancer-peptides-using-novel-peptide-transformation-into-evolutionary-and-structure-matrix-based_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model}}, year = {2026}, url = {https://4ort.xyz/entity/pacps-dnn-predicting-anticancer-peptides-using-novel-peptide-transformation-into-evolutionary-and-structure-matrix-based}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model — https://4ort.xyz/entity/pacps-dnn-predicting-anticancer-peptides-using-novel-peptide-transformation-into-evolutionary-and-structure-matrix-based (retrieved 2026-05-24)
