- February 17, 2025
Ever wanted to leverage mechanistic modeling but worried it’s too time-consuming?
At Ypso-Facto, we understand that diving into mechanistic modeling can feel overwhelming—especially when time and expertise are in short supply. That’s why we created the Explore Package, the perfect solution to kick-start your journey with minimal effort and maximum impact. What’s included?...
- June 05, 2024
Sanofi's experience with mechanistic modeling and Ypso-Ionic
Mechanistic models offer a robust alternative to traditional statistical methods because they require fewer experimental data and provide superior predictive capabilities, even outside of the conditions studied experimentally. We have implemented this method to the purification of complex viral...
- April 19, 2024
[French] Podcast : Optimisation des procédés pharmaceutiques
Notre podcast enregistré lors du Congrès Performance Environnementale de POLEPHARMA est maintenant disponible ! Dans cet épisode, Edouard Nicoud , Customer Success Manager à Ypso-Facto et Paul-Adrien Mathon échangent à propos de nos initiatives innovantes pour réduire la consommation...
- February 05, 2024
Predicting the impact of buffer type and pH : Application to protein purification by IEX
Challenge The challenge was inspired by the experimental data reported in Pabst et al. J. Chrom. A (2008) 1181, 83-94. A poor separation between two proteins, Serum Albumin (SA) and Serum Transferrin (ST), was observed (Fig. 1). The separation was performed on a weak cation exchange...
- January 19, 2024
Mechanistic modeling can help switch from batch to continuous: Myth or Fact?
Fact Once model parameters have been determined with a single column system , they can be used to perform simulations of multicolumn chromatography (MCC) with any number of columns. Calculating key performance indicators (KPIs) for both single and multicolumn systems can help to compare options...
- January 09, 2024
Mechanistic modeling can help secure scale-up: Myth or Fact?
Fact Unlike statistical models which are based on correlations and are only valid for their calibration data set, mechanistic model parameters have an actual physical meaning and can be applied to different process setups and process scales. This gives you confidence in scaling up your chromatography...
- December 18, 2023
Reduced experimental work by 4 compared to DoE for an oligonucleotide ion exchange process
" GSK Engaged Ypso-Facto’s expertise, their Ypso-Ionic software and GPX approach to develop a mechanistic model of a complex ion-exchange purification process. Compared with the classical statistical DoE approach, only 25% of the experimental work was required, but we also achieved...
- December 13, 2023
Mechanistic modeling is complex: Myth or Fact?
Myth The underlying equations that represent physical phenomena are necessarily complex, but using mechanistic models to gain process understanding doesn’t have to be. You don’t need to be a computerprogrammer or simulation expert with years of experience. With a clear methodology, a well- designed...
- December 06, 2023
Mechanistic modeling requires many experiments: Myth or Fact?
Myth A customer told us recently that mechanistic modeling required only 25% of the experimental work required for a classical statistical DoE approach and they also achieved much more, including deep process understanding. The number of experiments required depends on the objectives such...
Ypso-Facto is a service company helping industrial firms to develop, optimize and secure their chemical processes and bioprocesses.