Author

Adam Patrick Strange

Institute of Medical Science, The University of Tokyo

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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Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:virus· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Jumpei ItoiD· 2 shared Kei SatoiD· 2 shared Spyros LytrasiD· 2 shared Alice LilleyiD· 1 shared Hiroaki Unno· 1 shared Kaho OkumuraiD· 1 shared Nicola S. LewisiD· 1 shared Ruth HarveyiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersEvolutionary Biology

Jumpei ItoORCID

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2 papers

Recent·Most cited

Inferring context-specific site variation with evotuned protein language models

Spyros Lytras, Adam Patrick Strange, Jumpei Ito, Kei Sato

This study introduces a pLM entropy metric to assess protein site conservation and variability, showing that fine-tuning pLMs on evolutionarily related proteins improves their ability to capture context-specific site variation.

NAR Genomics and Bioinformatics · Jan 6, 2026Peer-reviewedEvolutionary Biology

Integrative modeling of seasonal influenza evolution via AI-powered antigenic cartography

Jumpei Ito, Shusuke Kawakubo, Hiroaki Unno, Adam Patrick Strange, Spyros Lytras, Kaho Okumura, Alice Lilley, Ruth Harvey, Nicola S. Lewis, Kei Sato

This study uses a protein language model to map influenza virus antigenicity from genotype data, revealing evolutionary patterns and improving vaccine strain selection.

bioRxiv · Aug 4, 2025 · PreprintMicrobiology