Author

Gabriel Greenstein

Korea Advanced Institute of Science and TechnologyORCID 0000-0001-7218-4708Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Alessio FragassoiD· 1 shared Alex KangiD· 1 shared Alexander F. ShidaiD· 1 shared Alexander N. ProssnitziD· 1 shared An‐Qi CheniD· 1 shared Anna Makar-Limanov· 1 shared Asim K. BeraiD· 1 shared Bhanumathi Shankaran· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMicrobiology

Alessio FragassoORCID

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2 papers

Recent·Most cited

BiochemistryNaturePeer-reviewedOct 14, 2026

De novo design of cysteine proteases

Hojae Choi, Magnus S. Bauer, Brian Coventry…·David A. Baker

This study designs de novo cysteine proteases with high activity and structural novelty, achieving 19% success rate and up to 3 x 10^7 rate enhancement over background reactions.

3 citationstop 5%

protein structuredeep learning

𝕏 PostBluesky

MicrobiologyMatterPeer-reviewedSep 1, 2026

Cross-Molecular Active Learning for the Discovery of Antimicrobial Polyacrylamides

Shoshana C. Williams, Anna Makar-Limanov, Gabriel Greenstein…·Eric Andrew Appel

This paper develops antimicrobial polyacrylamides using a cross-molecular machine learning pipeline trained on antimicrobial peptides, showing synergy with clinical drugs against E. coli biofilms.

DOI 10.1016/j.matt.2026.103026

E. colimachine learning (classical)

𝕏 PostBluesky