Author

Taihei Murakami

Saitama 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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Biophysics· 2

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Approach:deep learning· 2 Approach:contrastive learning· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Yasuhiro MatsunagaiD· 2 shared Kazuma Okada· 1 shared Kentaro Sasaki· 1 shared Soichiro Oda· 1 shared Yuki Hashidate· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBiophysics

Yasuhiro MatsunagaORCID

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2 papers

Recent·Most cited

BiophysicsBioinformaticsPeer-reviewedSep 18, 2026

Mechanistic Interpretability of Fine-Tuned Protein Language Models for Nanobody Thermostability Prediction

Taihei Murakami, Yuki Hashidate, Yasuhiro Matsunaga

This paper fine-tunes a protein language model on nanobody thermostability data and uses sparse autoencoders to uncover biophysical rules governing stability, identifying both known and novel stabilizing features.

DOI 10.1093/bioinformatics/btag685

protein sequencedeep learning

𝕏 PostBluesky

BiophysicsbioRxivPreprintAug 4, 2026

Transfer learning from computed stability data for nanobody melting-temperature prediction

Taihei Murakami, Kentaro Sasaki, Soichiro Oda…·Yasuhiro Matsunaga

The paper predicts nanobody melting temperatures using transfer learning with computed stability data, finding that free-energy perturbation labels and sequence diversity improve predictions.

DOI 10.64898/2026.07.30.741744

deep learningstatistical model

𝕏 PostBluesky