Spotlight on 4 publications resulting from the projects

• AlgAdvance Project:

Development of a mathematical model capable of predicting the photosynthetic activity of the microalga Chlorella vulgaris under stress conditions, particularly during nitrogen deprivation. This type of tool enables a better understanding and optimisation of the production of biomass and molecules of interest for the production of biofuels.

DOI: 10.1016/j.biortech.2025.133585

• MAMABIO Project:

Proposal of a machine learning method to predict transitions between molecular states. This approach paves the way for a better understanding of dynamic mechanisms at the molecular scale, with potential applications in enzyme engineering and bioprocess design.

DOI: https://dx.doi.org/10.48550/arXiv.2507.17700

• FillingGaps Project:

Release of 4D imaging datasets (3D + time) enabling the observation of the degradation of spruce wood cell walls by enzymes. These data constitute a valuable resource for the detailed analysis of the enzymatic mechanisms involved in the valorisation of lignocellulosic biomass.

DOI: https://dx.doi.org/10.1016/j.dib.2026.112489

• Galaxy-Bioprod Project:

Publication of a new version of a database dedicated to exploring new chemical and biological synthesis pathways.

DOI: https://dx.doi.org/10.1093/nar/gkaf1261

These results illustrate the complementary nature of the Bioproductions programme’s projects, combining experimentation, modelling and data science to accelerate the transition towards innovative bio-based processes.

All the programme’s publications can be found in the HAL collection: https://hal.science/BBEST