Author

Abi Ramanan

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Charlie A. Emrich· 1 shared Chenling A. XuiD· 1 shared David BelangeriD· 1 shared Hanson LeeiD· 1 shared Jeremy J. Agresti· 1 shared Jun W. KimiD· 1 shared Kathleen Hirano· 1 shared Kendra Dee NybergiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Charlie A. Emrich

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1 paper

Recent·Most cited

Engineering of highly active and diverse nuclease enzymes by combining machine learning and ultra-high-throughput screening

Neil Thomas, David Belanger, Chenling A. Xu, Hanson Lee, Kathleen Hirano, Kosuke Iwai, Vanja Polic, Kendra Dee Nyberg, Kevin G. Hoff, Lucas Frenz, Charlie A. Emrich, Jun W. Kim, Mariya Chavarha, Abi Ramanan, Jeremy J. Agresti, Lucy J. Colwell

This study combines machine learning and high-throughput screening to design improved nuclease enzymes, finding a more effective variant than standard directed evolution methods.

Cell Systems · Mar 1, 2025Peer-reviewedBioinformatics