Title: Free Virtual Certification Webinar on Metabolic Pathway Engineering

Abstract: The expanding OMICS datasets lead us to explore how to utilize them in an integrative and systematic way. One useful approach that exploits omics datasets and views them as a system is the genome-scale metabolic model (GSMM). A GSMM is a model that mimics the whole biochemical networks and reactions in living organisms based on their genomes. This model can then be validated using phenotype experiments, such as measured growth rates. However, how can the GSMM predict the amount of each metabolite inside the model? In this presentation, the speaker would like to introduce Flux Balance Analysis, a powerful method to predict each metabolite inside the GSMM. Not only can it predict each metabolite, but the derivatives of this method can also be applied to find candidate genes to be over-expressed or down-regulated to increase the metabolite of interest. Due to its cost-effectiveness and promising results, this approach has become popular, both in research and bio manufacturing industries focusing on bio product creation.

Date: Sunday, 14th April 2024, Time: 14H30 (Paris)

Webinar Highlights:

• Introduction to Flux Balance Analysis (FBA)

• Prediction of metabolites within Genome-Scale Metabolic Models (GSMM)

• Application of FBA derivatives to identify candidate genes for modulation

• Cost-effectiveness and efficacy driving popularity in research and biomanufacturing industries

Who Should Attend:

BSc and BTech students, MSc and MTech students, bioinformaticians, computational biologists, researchers, and professionals interested in bioinformatics tools.