Author

Takuma Matsushita

Kitasato University

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

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Mitsuo UmetsuiD· 1 shared Nur Syatila Ab GhaniiD· 1 shared Sakiya KawadaiD· 1 shared Tomohiro NoguchiiD· 1 shared Tomoyuki ItoiD· 1 shared Yoichi KurumidaiD· 1 shared Yutaka SaitōiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Mitsuo UmetsuORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 7, 2026

Evaluating Lightweight and Full Fine-Tuning Strategies Against Classical Machine Learning for Protein Function Prediction

Nur Syatila Ab Ghani, Takuma Matsushita, Tomohiro Noguchi…·Yutaka Saitō

This study compares different fine-tuning strategies and classical machine learning approaches for protein function prediction using benchmark datasets.

DOI 10.64898/2026.08.02.737389

protein sequencemachine learning (classical)

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