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). Discovering highly potent antimicrobial peptides with deep generative model HydrAMP. Retrieved May 24, 2026, from https://4ort.xyz/entity/discovering-highly-potent-antimicrobial-peptides-with-deep-generative-model-hydramp
MLA“Discovering highly potent antimicrobial peptides with deep generative model HydrAMP.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discovering-highly-potent-antimicrobial-peptides-with-deep-generative-model-hydramp.
BibTeX@misc{4ortxyz_discovering-highly-potent-antimicrobial-peptides-with-deep-generative-model-hydramp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discovering highly potent antimicrobial peptides with deep generative model HydrAMP}}, year = {2026}, url = {https://4ort.xyz/entity/discovering-highly-potent-antimicrobial-peptides-with-deep-generative-model-hydramp}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discovering highly potent antimicrobial peptides with deep generative model HydrAMP — https://4ort.xyz/entity/discovering-highly-potent-antimicrobial-peptides-with-deep-generative-model-hydramp (retrieved 2026-05-24)
