Author

Scott N. Dean

United States Naval Research LaboratoryORCID 0000-0002-3394-6164Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Sean M BrowniD· 2 shared Ashley B. CoheniD· 1 shared Gary J. VoraiD· 1 shared W. Judson HerveyiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Sean M BrownORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 7, 2026

Artificial intelligence aided design of peptides with custom secondary structure motifs and reduced amino acid alphabets

Sean M Brown, Ashley B. Cohen, Scott N. Dean

The paper designs peptides with custom secondary structures using a generative AI model trained on protein data, achieving success in creating novel proteins with desired motifs and reduced amino acid alphabets.

DOI 10.64898/2026.04.29.721096

protein sequencemachine learning (classical)

𝕏 PostBluesky

Synthetic BiologybioRxivPreprintMay 7, 2026

The genetically-encoded amino acids distribute non-randomly within a functionally-relevant chemical space

Sean M Brown, W. Judson Hervey, Scott N. Dean, Gary J. Vora

The study shows that the 20 genetically-encoded amino acids are non-randomly distributed in functionally-relevant chemical properties like HOMO-LUMO gaps, expanding previous theories on amino acid alphabet design.

DOI 10.64898/2026.05.06.723277

statistical model

𝕏 PostBluesky