MODEL PROFILE

CodonTransformer

adibvafa · CodonTransformer

**CodonTransformer** is the ultimate tool for codon optimization, transforming protein sequences into optimized DNA sequences specific for your target organisms. Whether you are a researcher or a practitioner in genetic engineering, CodonTransformer provides a comprehensive suite of features to facilitate your work. By leveraging the Transformer architecture and a user-friendly Jupyter notebook, it reduces the complexity of codon optimization, saving you time and effort. Adibvafa Fallahpour 1,2 \*, Vincent Gureghian 3 \*, Guillaume J. Filion 2 ‡, Ariel B. Lindner 3 ‡, Amir Pandi 3 ‡ 1 Vector Institute for Artificial Intelligence, Toronto ON, Canada 2 University of Toronto Scarborough; Department of Biological Science; Scarborough ON, Canada 3 Université Paris Cité, INSERM U1284, Center for Research and Interdisciplinarity, F-75006 Paris, France \* These authors contributed equally to this work. ‡ To whom correspondence should be addressed: guillaume.filion@utoronto.ca, ariel.lindner@inserm.fr, amir.pandi@cri-paris.org

Text analysislicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/30 04:19:00
OVERVIEW

Model overview

**CodonTransformer** is the ultimate tool for codon optimization, transforming protein sequences into optimized DNA sequences specific for your target organisms. Whether you are a researcher or a practitioner in genetic engineering, CodonTransformer provides a comprehensive suite of features to facilitate your work. By leveraging the Transformer architecture and a user-friendly Jupyter notebook, it reduces the complexity of codon optimization, saving you time and effort. Adibvafa Fallahpour 1,2 \*, Vincent Gureghian 3 \*, Guillaume J. Filion 2 ‡, Ariel B. Lindner 3 ‡, Amir Pandi 3 ‡ 1 Vector Institute for Artificial Intelligence, Toronto ON, Canada 2 University of Toronto Scarborough; Department of Biological Science; Scarborough ON, Canada 3 Université Paris Cité, INSERM U1284, Center for Research and Interdisciplinarity, F-75006 Paris, France \* These authors contributed equally to this work. ‡ To whom correspondence should be addressed: guillaume.filion@utoronto.ca, ariel.lindner@inserm.fr, amir.pandi@cri-paris.org

Key features

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。