Author

Isabel Armour-Garb

Princeton UniversityORCID 0000-0002-6332-3750Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:protein sequence· 2 Research Focus:database / resource· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Mona SinghiD· 2 shared Claire D. McWhiteiD· 1 shared Minh HoangiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 2 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

2 shared papersBioinformatics

Mona SinghORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 13, 2026

Fast, accurate construction of multiple sequence alignments from protein language embeddings

Minh Hoang, Isabel Armour-Garb, Mona Singh

This paper introduces ARIES, a method using protein language model embeddings to construct multiple sequence alignments, achieving higher accuracy than existing methods, especially in low-identity regimes.

1 citation

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsGenome ResearchPeer-reviewedJul 6, 2023

Vector-clustering Multiple Sequence Alignment: Aligning into the twilight zone of protein sequence similarity with protein language models

Claire D. McWhite, Isabel Armour-Garb, Mona Singh

This paper introduces a novel multiple sequence alignment method using protein language models to improve alignment accuracy in the twilight zone of sequence similarity.

30 citations

protein sequencedeep learning

𝕏 PostBluesky