the real LCSB

This work by Toumpe, Masid, Hatzimanikatis & Miskovic (@epfl_en LCSB) provides a resource for exploring metabolic regulation, vulnerabilities, and precision oncology. All models are openly available. #systemsbiology #cancermetabolism #multiomics #precisiononcology #openscience

By integrating multi-omics data with enzyme kinetics, we generated a population of near–genome-scale kinetic models that capture BRCA1-mutant vs wild-type ovarian cancer physiology. These models reveal network-wide control principles & drug-response dynamics.

🚀 New preprint from @epfl_en’s Laboratory of Computational Systems Biotechnology (LCSB)! We present “Multi-omics–driven kinetic modeling reveals metabolic vulnerabilities and differential drug-response dynamics in ovarian cancer.” 🔗 biorxiv.org/content/10.110…

Our review made the cover in ACS Synthetic Biology! 🎉🧬 We explore how large-scale kinetic models are shaping the future of metabolic engineering — check it out here 👉 pubs.acs.org/toc/asbcd6/14/8 Big thanks to the team and @ACSPublications! #MyACSCover #SyntheticBiology

Excited to share our new preprint, where we present NIS, a framework that distills GEMs into interpretable modules, enabling direct cross-species comparisons of fueling pathways, biosynthesis, and environmental exchanges. Congratulations to the authors!

Our latest work on Salmonella metabolism in the murine gut is now at @PLOSCompBiol ! Congratulations to the authors @EVayena, @FuchsiLea, @HomaMP4, Konrad Lagoda, Bidong Nguyen, Wolf D. Hardt, and @vassily_13! journals.plos.org/ploscompbiol/a…

This work showcases one of the few successful integrations of kinetic modeling and experiments to optimize cell factories. It highlights the power of NOMAD (nature.com/articles/s4146…) in accelerating and improving strain design!

Excited to share our preprint on boosting p-coumaric acid production in S. cerevisiae! 🎉 In collaboration with Irina Borodina's group (@Irina__Borodina), we used our NOMAD framework for strain design strategies. Read more: biorxiv.org/content/10.110…

A new baby from our creative workshop:

We are thrilled to announce that our generative ML method for kinetic modeling (biorxiv.org/content/10.110…) has been accepted to @NatureCatalysis. Congratulations to Subham (@astro_dank), Bharath (@bharathnarayana), Michael (@moret1788), Vassily (@Vassily_13), and Misko (@Misko_L34)

Check out our latest pre-print by @AnastasiaSves, @oftadehomid and @Vassily_13!

Our latest work is now out at Metabolic Engineering! Congratulations to the authors @oftadehomid and @Vassily_13!

Congratulations to Bharath (@bharathnarayana), Daniel (@realDRWeilandt), Maria, Misko (@Misko_L34), and @Vassily_13 for this nice work (nature.com/articles/s4146…)

Our recent publication in @NatureComms, “Rational strain design with minimal phenotype perturbation” by Narayanan et al., has been showcased in the recent Editors’ Highlights for Biotechnology and Methods focus (nature.com/collections/id…).

Check out our preprint on now on bioaRxiv!!! Congratulations to all the authors! @oftadehomid @aslisahin2205 @EVayena @vassily_13

Our latest work on metabolic engineering using kinetic models and process systems engineering methods is out nature.com/articles/s4146…! Congrats to Bharath (@bharathnarayana), Daniel (@realDRWeilandt ), Maria, Misko (@Misko_L34), and @Vassily_13 .

Congratulations to all the authors for this fantastic achievement! Homa (@HomaMP4), Anastasia (@AnastasiaSves), Misko (@Misko_L34) and Vassily (@vassily_13) !!

Curious and want to dive deeper? Check out our preprint on Bioarxiv: biorxiv.org/content/10.110…

Excited to announce that our latest work in now online ! This time the team significantly expanded on their previous tool, BridgIT, an enzyme annotation for orphan and novel reactions, to bring you the new and improved BridgIT+ ! Read the thread below to find out more :)