Author

Tony Tu

Georgia Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:protein sequence· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Kerr DingiD· 2 shared Yunan LuoiD· 2 shared Ziang LiiD· 2 shared Jiaqi LuoiD· 1 shared Wei HuangiD· 1 shared Yang YangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 13 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

Kerr DingORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

SynFit: Synergistic Contrastive Learning for Multi-Objective Protein Fitness Prediction and Optimization

Tony Tu, Wei Huang, Ziang Li, Kerr Ding, Yang Yang, Yunan Luo

SynFit improves protein fitness prediction by learning shared and property-specific sequence representations, outperforming existing methods in multi-objective optimization.

bioRxiv · May 26, 2026 · PreprintBioinformatics

Deconvolving mutation effects on protein stability and function with disentangled protein language models

Kerr Ding, Ziang Li, Tony Tu, Jiaqi Luo, Yunan Luo

This paper introduces DETANGO, a deep learning framework that disentangles mutation effects on protein stability and function, identifying stable-but-inactive variants and functionally critical residues.

bioRxiv · Feb 26, 2026 · PreprintBioinformatics