Author

Xiang Ma

Grand View UniversityORCID 0000-0001-9427-8385Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Iddo FriedbergiD· 1 shared Parnal JoshiiD· 1 shared Qi LiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Iddo FriedbergORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJul 1, 2026

How Not to be Seen: Predicting Unseen Enzyme Functions using Contrastive Learning

Xiang Ma, Parnal Joshi, Iddo Friedberg, Qi Li

This paper introduces EnzPlacer, a contrastive learning method that predicts enzyme function from sequence by placing it in known function space, even when the precise function is unknown.

DOI 10.1093/bioinformatics/btag215

protein sequencecontrastive learning

𝕏 PostBluesky