Author

Tomoyuki Fujiyama

University of Tsukuba

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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Cell Biology· 1

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Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Aditya ParekhiD· 1 shared Akiyoshi UezuiD· 1 shared Daichi ShonaiiD· 1 shared Hikari Yamamoto· 1 shared Kanchan JhaiD· 1 shared Masashi YanagisawaiD· 1 shared Pooja ParameswaraniD· 1 shared Rohit SinghiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperCell Biology

Aditya ParekhORCID

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1 paper

Recent·Most cited

Deep Learning-coupled Proximity Proteomics to Deconvolve Kinase Signaling In Vivo

Kanchan Jha, Daichi Shonai, Aditya Parekh, Akiyoshi Uezu, Tomoyuki Fujiyama, Hikari Yamamoto, Pooja Parameswaran, Masashi Yanagisawa, Rohit Singh, Scott H. Soderling

The paper introduces KolossuS, a deep learning framework for kinase-substrate prediction, integrated with CRISPR-based proximity proteomics to identify kinase substrates in vivo, including novel substrates associated with sleep deprivation.

bioRxiv · Apr 27, 2025 · PreprintCell Biology