Author

Anissa Benabbas

University of OregonORCID 0000-0003-1117-8237Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Synthetic Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Avery BilloiD· 1 shared Calin PlesaiD· 1 shared Lauren O. ChisholmiD· 1 shared Phillip KearnsiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperSynthetic Biology

Avery BilloORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Synthetic BiologybioRxivPreprintMar 2, 2026

High Diversity Gene Libraries Facilitate Machine Learning Guided Exploration of Fluorescent Protein Sequence Space

Anissa Benabbas, Phillip Kearns, Avery Billo…·Calin Plesa

This study shows that expanding training data diversity with synthetic gene libraries improves machine learning models' ability to generate functional fluorescent proteins beyond natural sequence space.

1 citation

protein sequencemachine learning (classical)

𝕏 PostBluesky