Author

Florence V. Guerina

Boston UniversityORCID 0000-0003-0697-1898Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein structure prediction· 1

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Brian DePasqualeiD· 1 shared Emily DunieciD· 1 shared Grant D. McConachieiD· 1 shared Meg A. YoungeriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Brian DePasqualeORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintNov 4, 2025

Low rank adaptation of chemical foundation models generate effective odorant representations

Grant D. McConachie, Emily Duniec, Florence V. Guerina…·Brian DePasquale

The paper shows that fine-tuning chemical foundation models improves odorant-receptor binding prediction, introducing LORAX which outperforms existing models.

DOI 10.1101/2025.11.04.686628

deep learningcontrastive learning

𝕏 PostBluesky