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Our study demonstrates how our pLM entropy metric can capture which sites are more likely to change in a specific sequence context and how fine-tuning pLMs on a set of evolutionarily related proteins (evotuning) can improve the models\u2019 understanding of the group\u2019s diversity.<\/jats:p>","DOI":"10.1093\/nargab\/lqag018","type":"journal-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T12:27:32Z","timestamp":1770035252000},"source":"Crossref","is-referenced-by-count":2,"title":["Inferring context-specific site variation with evotuned protein language models"],"prefix":"10.1093","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4202-6682","authenticated-orcid":false,"given":"Spyros","family":"Lytras","sequence":"first","affiliation":[{"name":"Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo , Tokyo 108-8639 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