Metabolic Club I

Date: January 12 and 16, 2024

The aim of this workshop is to discuss on modern techniques to analyze the metabolic capacity of organisms and communities. Some topics to be included: genome scale metabolic reconstruction, flux analyses, metabolic response to environment, etc.

Venue:

Seminar Room
Department of Mathematical Engineering
University of Chile
North Building, 5th floor
Beauchef 851, Santiago

Organizing Committee

  • Vicente Acuña, Universidad de Chile
  • Alejandro Maass, Universidad de Chile
  • Sebastián Mendoza, Universidad de Chile

Program

Friday, January  12, 2023

09:45 – 10:00 Reception

10:00 – 11:00 Anne Siegel: “Study and Comparisons of metabolic maps : adapt to the triptych of knowledge – data – scaling up”

11:00 – 11:30 Coffee break

11:30 – 12:30 Daniel Garrido: “Modeling metabolic interactions in the gut microbiome: insights into HMO utilization and butyrate production”

12:30 – 14:30 LUNCH

14:30 – 15:30 Álvaro Altamirano: “Development of computational methods for predicting metabolic interactions in microbial consortia”

15:30 – 16:00 Coffee break

16:00 – 17:00 Clémence Frioux: “Exploration of microbial ecosystems: from compositional patterns to dynamic metabolic models” (slides)

Tuesday, January 16, 2023

09:15 – 09:30 Reception

09:30 – 10:15 Yann Le Cunff: “Prior knowledge and Machine Learning : Predicting enzyme functions and analyzing patients’ microbiota”

10:30 – 11:15 Natalia Jimenez: “What’s the objective? Applications of genome-scale models: from quantitative to qualitative and everything in between”

11:30 – 12:15 Marianne Buscaglia: “Exploring the diversity and adaptations of giant viruses in cold marine environments”

12:30 – 14:30 LUNCH

14:30 – 15:15 Vicente Acuña: “Unveiling abundance-dependent metabolic phenotypes of a community”

15:30 – 16:15 Chabname Ghassemi: “Towards culturing the unculturable: logic and linear programming for seed identification in metabolic networks”

16:30 – 17:15 Sebastián Mendoza: “CF-dFBA and End-Point-Optimization: Novel methods to simulate microbial communities’ dynamics and predict cross-feeding metabolites”