Author

Shinji Iida

Kitasato UniversityORCID 0000-0003-2094-495XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:mechanistic / dynamical model· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Kaito KobayashiiD· 1 shared Nur Syatila Ab GhaniiD· 1 shared Teppei DeguchiiD· 1 shared Yoichi KurumidaiD· 1 shared Yutaka SaitōiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Kaito KobayashiORCID

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2 papers

Recent·Most cited

BiophysicsJournal of Chemical Information and ModelingPeer-reviewedOct 29, 2025

Xenon Explores Apparent and Cryptic Binding Sites

Shinji Iida

This study evaluates xenon as a probe to identify cryptic binding sites in proteins by comparing its performance to benzene in apo protein simulations.

DOI 10.1021/acs.jcim.5c01850

protein structuremechanistic / dynamical model

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedAug 31, 2025

Data-efficient protein mutational effect prediction with weak supervision by molecular simulation and protein language models

Teppei Deguchi, Nur Syatila Ab Ghani, Yoichi Kurumida…·Yutaka Saitō

The paper presents a method that improves protein mutational effect prediction with limited experimental data by combining molecular simulation and protein language models.

2 citations

protein sequencedeep learning

𝕏 PostBluesky