Author

Imee Sinha

GenentechORCID 0009-0006-1804-904XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Andrew M. WatkinsiD· 2 shared Franziska SeegeriD· 2 shared Henri Dwyer· 2 shared Homa MohammadiPeyhaniiD· 2 shared Jack J. BeversiD· 2 shared Joseph KleinhenziD· 2 shared Karina Zadorozhny· 2 shared Kyunghyun ChoiD· 2 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

Andrew M. WatkinsORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintNov 12, 2025

CDR Conformation Aware Antibody Sequence Design with ConformAb

Imee Sinha, Samuel Stanton, Stephen P. Lillington…·Simon P. Kelow

ConformAb designs antibody sequences that maintain CDR canonical conformations, improving binding affinity without target-specific data.

1 citation

protein sequencedeep learning

𝕏 PostBluesky

BioengineeringbioRxivPreprintFeb 19, 2025

Lab-in-the-loop therapeutic antibody design with deep learning

Nathan C. Frey, Isidro Hötzel, Samuel Stanton…·Vladimir Gligorijević

This paper introduces a machine learning framework for therapeutic antibody design that integrates computational methods with experimental validation, resulting in significantly improved binding affinity for multiple targets.

28 citations

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky