Author

Michelle S. Bradbury

Weill Cornell MedicineORCID 0000-0003-3147-4391Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Miles PourbaghiiD· 1 shared Olivier ElementoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Miles PourbaghiORCID

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1 paper

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BioinformaticsbioRxivPreprintSep 30, 2026

Scaffold-Constrained Generative Design Overcomes Failure Modes in Computational Protein Engineering

Miles Pourbaghi, Olivier Elemento, Michelle S. Bradbury

The paper develops a scaffold-constrained generative model for protein design, showing it produces high-quality candidates with better ranking scores than previous methods.

DOI 10.64898/2026.08.07.743551

protein sequencedeep learning

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