Author

Mingliang Zhou

Chongqing UniversityORCID 0000-0002-1874-3641Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:protein sequence· 2 Research Focus:sequence-to-function modeling· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jielu YaniD· 3 shared Shirley W. I. SiuiD· 3 shared François‐Xavier Campbell‐ValoisiD· 2 shared Jianxiu CaiiD· 2 shared YiFan LiiD· 2 shared Bob ZhangiD· 1 shared Hang Fai KwokiD· 1 shared Iun Fan Lei· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Jielu YanORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 6, 2026

Diffusion-ACP39: A Decoder-Adaptive Latent Diffusion Framework for Generative Anticancer Peptide Discovery

Jielu Yan, Qichun Wu, YiFan Li…·Shirley W. I. Siu

This paper introduces Diffusion-ACP39, a generative model for anticancer peptide discovery, achieving 94.5% accuracy in generating novel peptides.

DOI 10.64898/2026.03.04.709539

deep learningdrug response / drug discovery

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BioinformaticsbioRxivPreprintNov 25, 2025

ClsDiff-AMP30: Generating Antimicrobial Peptides by a Classifier Guidance Noise Predictor

Jielu Yan, Jianxiu Cai, Yifan Li…·Shirley W. I. Siu

ClsDiff-AMP30 generates short antimicrobial peptides with high antimicrobial activity and low toxicity through a classifier-guided diffusion model.

DOI 10.1101/2025.11.25.690620

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 13, 2021

Multi-Branch-CNN: classification of ion channel interacting peptides using parallel convolutional neural networks

Jielu Yan, Bob Zhang, Mingliang Zhou…·Shirley W. I. Siu

The paper introduces Multi-Branch-CNN, a parallel CNN method for classifying ion channel interacting peptides, showing improved performance on novel sequences compared to traditional ML algorithms and other CNN variants.

1 citation

protein sequencemachine learning (classical)

𝕏 PostBluesky