Author

Tristan Zaborniak

University of VictoriaORCID 0000-0002-4301-0861Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Noora AzadvariiD· 1 shared P. Douglas RenfrewiD· 1 shared Parisa HosseinzadehiD· 1 shared Qiyao ZhuiD· 1 shared SM Bargeen Alam TurzoiD· 1 shared Vikram Khipple MulliganiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBiochemistry

Noora AzadvariORCID

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1 paper

Recent·Most cited

BiochemistryMethods in enzymology on CD-ROM/Methods in enzymologyPeer-reviewedJan 1, 2025

The open-source Masala software suite: Facilitating rapid methods development for synthetic heteropolymer design

Tristan Zaborniak, Noora Azadvari, Qiyao Zhu…·Vikram Khipple Mulligan

The paper introduces Masala, an open-source software suite designed to extend and improve upon Rosetta for synthetic heteropolymer design, offering modular architecture and performance improvements.

DOI 10.1016/bs.mie.2025.09.015

protein sequencedeep learning

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