RiboNN: A deep learning model to predict translation efficiency from mRNA sequence

Zheng, Dinghai; Wang, Jun; Agarwal, Vikram

doi:10.5281/zenodo.17257104

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Published October 3, 2025 | Version v1.0.3

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RiboNN: A deep learning model to predict translation efficiency from mRNA sequence

1. Sanofi (United States)

RiboNN-1.0.0.zip contains the source code. weights.zip contains the weights for both human and mouse RiboNN models.

For more information, please see our RiboNN paper.

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RiboNN-1.0.0.zip

Files (293.2 MB)

Name	Size	Download all
RiboNN-1.0.0.zip md5:6f8c12f7ba678db202fa1019668c0a29	1.8 MB	Preview Download
weights.zip md5:72051467047451d65f11f314dad4884d	291.4 MB	Preview Download

Additional details

Is described by: Publication: https://doi.org/10.1101/2024.08.11.607362 (URL)

Updated: 2025-10-03

Uploaded mouse RiboNN model weights and updated URL for the paper

Repository URL: https://github.com/Sanofi-Public/RiboNN
Programming language: Python , Makefile
Development Status: Active

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	All versions	This version
Views	1,053	15
Downloads	422	25
Data volume	70.8 GB	3.8 GB

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DOI

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Zenodo

Published in

Predicting the translation efficiency of messenger RNA in mammalian cells, ISSN: 1546-1696, 2025.

Languages

English

License: MODEL WEIGHTS LICENSE

License Notice: Permission is hereby granted, free of charge, for academic research purposes only and for non-commercial use only, to any person from an academic research or non-profit organization obtaining a copy of these model weights (the “Materials”) to use, copy, modify, or merge the Materials, subject to the following conditions: this License Notice shall be included in all copies of the Materials or of substantial portions of the Materials. For purposes of this notice, “non-commercial use” excludes uses foreseeably resulting in a commercial benefit. Please contact SANOFI with any questions or requests to use these Materials for other purposes. All other rights are reserved. The Materials are provided 'as is", without warranty of any kind, express or implied, including the warranties of noninfringement.; Non Commercial License Notice

Copyright Sanofi 2024 Permission is hereby granted, free of charge, for academic research purposes only and for non-commercial uses only, to any person from academic research or non-profit organizations obtaining a copy of this software and associated documentation files (the "Software"), to use, copy, modify, or merge the Software, subject to the following conditions: this permission Notice shall be included in all copies of the Software or of substantial portions of the Software. For purposes of this license, “non-commercial use” excludes uses foreseeably resulting in a commercial benefit. To use this software for other purposes (such as the development of a commercial product, including but not limited to software, service, or pharmaceuticals, or in a collaboration with a private company), please contact SANOFI at patent.gos@sanofi.com. All other rights are reserved. The Software is provided “as is”, without warranty of any kind, express or implied, including the warranties of noninfringement. The Software is registered.

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Created: October 3, 2025
Modified: October 3, 2025

RiboNN-1.0.0.zip

Files (293.2 MB)

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RiboNN: A deep learning model to predict translation efficiency from mRNA sequence

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RiboNN-1.0.0.zip

Files (293.2 MB)

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