Author

Toshifumi Takao

Institute for Protein Research, The University of OsakaORCID 0000-0002-4941-922XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:cryo-EM· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metabolomics· 1 Organism:virus· 1

Frequent Co-Authors

Atsuo SuzukiiD· 1 shared Emi Mishiro‐SatoiD· 1 shared Hajime NakataniiD· 1 shared Keiichi NambaiD· 1 shared Kenji MizuguchiiD· 1 shared Michio HommaiD· 1 shared Miki KinoshitaiD· 1 shared Qiuyi Wang· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

Atsuo SuzukiORCID

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2 papers

Recent·Most cited

Structural characterization of a pseudaminic acid-modified lateral flagellar filament from Vibrio alginolyticus

Miki Kinoshita, Tohru Minamino, Hajime Nakatani, Atsuo Suzuki, Toshifumi Takao, Emi Mishiro‐Sato, Seiji Kojima, Keiichi Namba, Michio Homma

The paper characterizes pseudaminic acid modifications on the lateral flagellar filament of Vibrio alginolyticus and shows Maf is required for filament formation.

bioRxiv · Sep 24, 2026 · PreprintMicrobiology

Biological age prediction using a novel DNN model based on steroid metabolic pathways

Qiuyi Wang, Zi Wang, Kenji Mizuguchi, Toshifumi Takao

This study predicts biological age using a DNN model based on steroid metabolic pathways, identifying key markers like cortisol and revealing sex-specific variations in steroid interactions.

Science Advances · Mar 14, 2025Peer-reviewedBioinformatics