Author

Noga Alon

Primary ORCID profile (0000-0003-1332-4883 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Noga AloniD1 paper · Ben-Gurion University of the Negev

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:E. coli· 2 Research Focus:protein design· 2 Approach:deep learning· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Gideon D. Lapidoth· 2 shared Itay LeviniD· 2 shared Lior ZimmermaniD· 2 shared Anna KoganitskyiD· 1 shared Chen Brestel· 1 shared Michael Chalick· 1 shared Nitzan KutnowskiiD· 1 shared Nufar Shpigel· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Gideon D. Lapidoth

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2 papers

Recent·Most cited

StabilizeIT: An Automated Workflow for Protein Stabilization

Nitzan Kutnowski, Yair Budic, Michael Chalick, Noga Alon, Itay Levin, Gideon D. Lapidoth, Lior Zimmerman

StabilizeIT is a webserver that enhances protein stability and expression by integrating computational tools and a novel model, demonstrating effectiveness in engineering enzymes for a biosynthetic pathway.

bioRxiv · Oct 9, 2025 · PreprintBioinformatics

Context-Dependent Design of Induced-fit Enzymes using Deep Learning Generates Well Expressed, Thermally Stable and Active Enzymes

Lior Zimmerman, Noga Alon, Itay Levin, Anna Koganitsky, Nufar Shpigel, Chen Brestel, Gideon D. Lapidoth

This paper designs novel enzymes with improved expression, thermal stability, and activity using deep learning methods, achieving 54% expression in E. coli and 30% higher thermal stability than templates.

Proceedings of the National Academy of Sciences · Mar 4, 2024Peer-reviewedBioinformatics