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

Zheng, Dinghai; Wang, Jun; Agarwal, Vikram

doi:10.5281/zenodo.17251928

There is a newer version of the record available.

Published May 9, 2025 | Version v1.0.2

Software Open

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 the RiboNN model trained on human TE. weights_for_RiboNN_trained_on_mouse_TE.zip contains the weights for the RiboNN model trained on mouse TE.

For more information, please see our RiboNN paper.

Files

weights.zip

Files (293.2 MB)

Name	Size	Download all
RiboNN-1.0.0.zip md5:6f8c12f7ba678db202fa1019668c0a29	1.8 MB	Preview Download
weights.zip md5:110ae2fc4105b874ab1c58ddd4e02adf	168.1 MB	Preview Download
weights_for_RiboNN_trained_on_mouse_TE.zip md5:7b7b52e1a9a40b5f1232255f47617a42	123.3 MB	Preview Download

Additional details

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

Updated: 2025-10-02

Uploaded mouse RiboNN model weights

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

Views

394

Downloads

Show more details

	All versions	This version
Views	1,018	15
Downloads	394	10
Data volume	67.3 GB	1.9 GB

More info on how stats are collected....

DOI

Resource type

Software

Publisher

Zenodo

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.

Technical metadata

Created: October 2, 2025
Modified: October 2, 2025

weights.zip

Files (293.2 MB)

Related works

Dates

Software

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

Authors/Creators

Description

Files

weights.zip

Files (293.2 MB)

Additional details

Related works

Dates

Software