Laboratory of Computational Systems Biotechnology led by @Vassily_13 Databases: https://xitter.cf/t.co/kdLhSi2CbQ (NEW: ReKinDLE) Opensource: https://xitter.cf/t.co/RJeBF8fVn4

Lausanne, Switzerland
Joined August 2017
🚀 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/10.1101/…
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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.
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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
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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
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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!
Replying to @EVayena
👏 A big thank you to my co-authors Meric Ataman & Vassily Hatzimanikatis for this great collaboration! 🔍 Read more: doi.org/10.1101/2025.08.08.6…
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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/s41467-0…) in accelerating and improving strain design!
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A new baby from our creative workshop:
Want to efficiently create large-scale dynamic models of metabolism that fit experimental data and reliably predict metabolic responses to various perturbations? Our new method does just that! Check it out here: nature.com/articles/s41929-0….
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Our latest work is now out at Metabolic Engineering! Congratulations to the authors @oftadehomid and @Vassily_13!
Our new paper describes how computational models can capture the #plasmid metabolic burden and help optimize #recombinant expression of proteins sciencedirect.com/science/ar…
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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/idhhg…).
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Congratulations to Bharath (@bharathnarayana), Daniel (@realDRWeilandt), Maria, Misko (@Misko_L34), and @Vassily_13 for this nice work (nature.com/articles/s41467-0…)
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the real LCSB retweeted
Our latest work on metabolic engineering using kinetic models and process systems engineering methods is out nature.com/articles/s41467-0…! Congrats to Bharath (@bharathnarayana), Daniel (@realDRWeilandt ), Maria, Misko (@Misko_L34), and @Vassily_13 .
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Our latest work on metabolic engineering using kinetic models and process systems engineering methods is out nature.com/articles/s41467-0…! Congrats to Bharath (@bharathnarayana), Daniel (@realDRWeilandt ), Maria, Misko (@Misko_L34), and @Vassily_13 .
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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 :)
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Congratulations to all the authors for this fantastic achievement! Homa (@HomaMP4), Anastasia (@AnastasiaSves), Misko (@Misko_L34) and Vassily (@vassily_13) !!
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