Author

Kan Wu

Hubei University of Technology

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

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:comparative / phylogenetic analysis· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1

Frequent Co-Authors

Sen LiuiD· 2 shared Bing Wu· 1 shared Camilla Lothe NesbøiD· 1 shared Cheng CheniD· 1 shared Cheryl E. Devine· 1 shared Courtney R. A. TothiD· 1 shared Elizabeth Anne EdwardsiD· 1 shared Fei Luo· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersMolecular Biology

Sen LiuORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Optogenetic decoupling of ODC inhibition and degradation reveals a requirement of polyamine oscillation for cell cycle progression

Zunqin Zhang, Bing Wu, Kan Wu, Zhiyan Chen, Sen Liu

This paper uses an optogenetic yeast model to decouple ODC inhibition and degradation, revealing that polyamine oscillation is essential for cell cycle progression.

bioRxiv · Jul 17, 2026 · PreprintMolecular Biology

Identification of a Highly Expressed Gene Cluster Likely Coding for Benzene Activation Enzymes in a Methanogenic Enrichment Culture

Courtney R. A. Toth, Olivia Molenda, Camilla Lothe Nesbø, Fei Luo, Cheryl E. Devine, Xu Chen, Kan Wu, Johnny Z. Xiao, Rishika Puri, Shen Guo, Nancy Bawa, Po‐Hsiang Wang, Yifeng Wei, Robert Flick, Elizabeth Anne Edwards

The paper identifies two gene clusters in a methanogenic enrichment culture that likely code for benzene activation enzymes, providing genetic and proteomic evidence for anaerobic benzene degradation mechanisms.

Applied and Environmental Microbiology · Mar 27, 2026Peer-reviewedMicrobiology

The computational models of AlphaFold2 and RoseTTAfold carry protein foldability information

Sen Liu, Kan Wu, Cheng Chen

This study shows that AlphaFold2 and RoseTTAfold models show structural variations correlated with protein foldability, independent of secondary structure and unrelated to function.

bioRxiv · Jan 27, 2022 · PreprintBioinformatics