Author

Qingzhou Kong

Qilu Hospital of Shandong UniversityORCID 0000-0002-4744-3269Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Approach:large language model· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Boyao WaniD· 2 shared Haifan GongiD· 2 shared Jinghui ZhangiD· 2 shared Xiaoyun YangiD· 2 shared Yanbo YuiD· 2 shared Yanqing LiiD· 2 shared Yinuo ZhaoiD· 2 shared Guanqi CheniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersBioengineering

Boyao WanORCID

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2 papers

Recent·Most cited

BioengineeringAdvanced SciencePeer-reviewedMar 9, 2026

De novo multi-mechanism antimicrobial peptide design via multimodal deep learning

Xiaojuan Li, Haifan Gong, Yue Wang…·Yanqing Li

This paper introduces M3-CAD, a deep learning pipeline for designing multi-mechanism antimicrobial peptides to combat multidrug-resistant organisms, showing effectiveness in a skin wound infection model.

20 citationstop 1%

protein sequencedeep learning

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BioinformaticsbioRxivPreprintApr 29, 2025

PepSeek: Universal Functional Peptide Discovery with Cooperation Between Specialized Deep Learning Models and Large Language Model

Haifan Gong, Yue Wang, Qingzhou Kong…·Yanqing Li

PepSeek identifies functional peptides using a combination of large language models and specialized models, achieving high accuracy in antimicrobial peptide discovery.

1 citation

proteomicslarge language model

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