Author

AnQi Ouyang

Nanjing University of Science and Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

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Approach:contrastive learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Dong‐Jun YuiD· 1 shared Fang GeiD· 1 shared Jiangning SongiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Dong‐Jun YuORCID

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1 paper

Recent·Most cited

De novo design of functionally diverse and druggable antimicrobial peptides by diffusion and multimodal deep learning

AnQi Ouyang, Fang Ge, Jiangning Song, Dong‐Jun Yu

This paper introduces AMP-D3, a framework for designing diverse and druggable antimicrobial peptides using diffusion and multimodal deep learning, achieving high accuracy in prediction and validation.

bioRxiv · Jul 16, 2025 · PreprintBioinformatics