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Search Publications by: Shwetha Sreenivasan (IntlAssoc)

Displaying 1 - 2 of 2

Functional Profiling of Thousands of Sequence-Diverse Protease Homologs with GROQ-seq

May 5, 2026

Author(s)

James McLellan, Svetlana Ikonomova, Shwetha Sreenivasan, Alan Amin, Catherine Baranowski, Amanda Reider Apel, Peter Kelly, David Ross, Aviv Spinner

High-quality datasets that span broad sequence diversity are essential for understanding protein sequence–function relationships beyond local mutational landscapes. Here, we applied Growth-based Quantitative Sequencing (GROQ-seq) to measure function across

GROQ-seq Datasets Across Transcription Factors (LacI, RamR, VanR), T7 RNA Polymerase and TEV Protease

April 19, 2026

Author(s)

Aviv Spinner, Shwetha Sreenivasan, James McLellan, Svetlana Ikonomova, Dana Cortade, Simon d'Oelsnitz, Kristen Sheldon, Olga Vasilyeva, Nina Alperovich, Anjali Chadha, Lily Nematollahi, Andi Dhroso, Zach Sisson, Corey Hudson, Erika DeBenedictis, Peter Kelly, Amanda Reider Apel, David Ross, Catherine Baranowski

Predicting any protein's function from its sequence alone would be a significant breakthrough in molecular biology. Although machine learning approaches have sought to tackle this, their limited generalizability reflects the absence of sufficiently large

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