Author

Masakazu Sekijima

Institute of Science TokyoORCID 0000-0002-3806-9535Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Kazuki TakedaiD· 1 shared Rin Sugawara· 1 shared Ryo KamataiD· 1 shared Teppei Hayama· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Kazuki TakedaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJan 30, 2025

Comprehensive Molecular Docking on the AlphaFold-Predicted Protein Structure Proteome: Identifying Target Protein Candidates for Puberulic Acid, a Suspected Lethal Nephrotoxin

Teppei Hayama, Rin Sugawara, Ryo Kamata…·Kazuki Takeda

This study uses molecular docking on AlphaFold2-predicted protein structures to identify potential targets for puberulic acid, highlighting sodium/myo-inositol cotransporters as high-affinity candidates.

DOI 10.1101/2025.01.30.635827

protein structurestatistical model

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