Author

Célio Dias Santos Júnior

Shanghai Medical College of Fudan UniversityORCID 0000-0002-1974-1736Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Approach:statistical model· 2 Organism:bacteria (other)· 1 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Luis Pedro CoelhoiD· 2 shared Xing‐Ming ZhaoiD· 2 shared Yiqian DuaniD· 2 shared Anthony FullamiD· 1 shared Breno Livio Silva de AlmeidaiD· 1 shared Chengkai ZhuiD· 1 shared Chuxiao Ye· 1 shared Fang LiiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Luis Pedro CoelhoORCID

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3 papers

Recent·Most cited

MicrobiologybioRxivPreprintDec 16, 2025

A global deep-sea small protein atlas reveals a reservoir of noncanonical antimicrobial peptides

Qiuyun Jiang, Yingchun Han, Chuxiao Ye…·Xiyang Dong

The paper constructs a deep-sea small protein atlas, identifies noncanonical antimicrobial peptides, and demonstrates their antimicrobial efficacy and non-lytic mechanisms.

DOI 10.64898/2025.12.15.694180

metagenomicsdeep learning

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedAug 30, 2024

A catalogue of small proteins from the global microbiome

Yiqian Duan, Célio Dias Santos Júnior, Thomas Schmidt…·Luis Pedro Coelho

The paper constructs a global microbial small ORFs catalogue and identifies a tool for annotating small proteins in microbial genomes.

34 citationstop 3%

bacteria (other)metagenomics

𝕏 PostBluesky

BioinformaticsPeerJPeer-reviewedDec 18, 2020

MACREL: antimicrobial peptide screening in genomes and metagenomes

Célio Dias Santos Júnior, Shaojun Pan, Xing‐Ming Zhao, Luis Pedro Coelho

MACREL identifies high-quality antimicrobial peptide candidates from genomes and metagenomes using a novel set of peptide features and classifiers.

131 citationstop 4%

metagenomicsstatistical model

𝕏 PostBluesky