Open Source
7 open-source repositories spanning large language models for mRNA, active learning, molecular property prediction, and lipid nanoparticle design.
github.com/Sanofi-Public/CodonBERT · 2024
A transformer-based model for predicting and optimizing mRNA sequences, enabling improved therapeutic mRNA design through deep learning.
View on GitHubgithub.com/Sanofi-Public/LMR-SurfaceID · 2024
A protein language model for identifying and characterizing antibody surface residues critical for antigen binding and therapeutic development.
View on GitHubgithub.com/Sanofi-Public/MolQuery · 2024
A machine learning framework for querying and predicting molecular properties to accelerate drug discovery and molecular design.
View on GitHubgithub.com/Sanofi-Public/Alien · 2024
An active learning framework for optimizing experimental design in biological and chemical spaces, reducing experimental costs while maximizing information gain.
View on GitHubgithub.com/Sanofi-Public/mRNA-LM · 2024
A suite of language models specifically designed for mRNA sequence analysis, property prediction, and therapeutic optimization.
View on GitHubgithub.com/Sanofi-Public/dewdrop · 2024
A deep learning toolkit for predicting and optimizing physicochemical properties of small molecule therapeutics.
View on GitHubgithub.com/Sanofi-Public/LipoBART · 2024
A transformer architecture for designing and optimizing lipid nanoparticles for mRNA delivery systems.
View on GitHub