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AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides
Research article (Bioinformatics, 2024) · cited 11× · AI/ML
AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides
Summary
AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides is a scholarly article[1].
Key Facts
AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides. Retrieved May 24, 2026, from https://4ort.xyz/entity/aacflow-an-end-to-end-model-based-on-attention-augmented-convolutional-neural-network-and-flow-attention-mechanism-for-i
MLA“AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/aacflow-an-end-to-end-model-based-on-attention-augmented-convolutional-neural-network-and-flow-attention-mechanism-for-i.
BibTeX@misc{4ortxyz_aacflow-an-end-to-end-model-based-on-attention-augmented-convolutional-neural-network-and-flow-attention-mechanism-for-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides}}, year = {2026}, url = {https://4ort.xyz/entity/aacflow-an-end-to-end-model-based-on-attention-augmented-convolutional-neural-network-and-flow-attention-mechanism-for-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides — https://4ort.xyz/entity/aacflow-an-end-to-end-model-based-on-attention-augmented-convolutional-neural-network-and-flow-attention-mechanism-for-i (retrieved 2026-05-24)