Author

Júlia Daher Carneiro Marsiglia

Opto Eletrônica (Brazil)ORCID 0000-0002-4781-8286Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:CRISPR screen· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Kia Vaalavirta· 2 shared Muneaki NakamuraiD· 2 shared Nicholas W. HughesiD· 2 shared Becky Xu Hua FuiD· 1 shared Estefany Knight· 1 shared Grant GoldmaniD· 1 shared Kaitlyn K. Spees· 1 shared Le CongiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersSynthetic Biology

Kia Vaalavirta

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2 papers

Recent·Most cited

Efficient exploration of sequence space enables rapid generation of functional genome editors

Nicholas W. Hughes, Sourab Kulkarni, Grant Goldman, Júlia Daher Carneiro Marsiglia, Sunit Jain, Kaitlyn K. Spees, Becky Xu Hua Fu, Kia Vaalavirta, Muneaki Nakamura

The paper generates functional genome editors by combining deep mutational scanning, structural analysis, and evolutionary mining with a generative protein language model.

bioRxiv · Aug 20, 2026 · PreprintSynthetic Biology

Protein language model-guided engineering of an anti-CRISPR protein for precise genome editing in human cells

Júlia Daher Carneiro Marsiglia, Kia Vaalavirta, Estefany Knight, Muneaki Nakamura, Le Cong, Nicholas W. Hughes

This study uses protein language models and high-throughput screening to engineer an anti-CRISPR protein that enhances CRISPR/Cas genome editing precision in human cells.

bioRxiv · Dec 13, 2023 · PreprintSynthetic Biology