Title: Workshop Metabolism and mathematical models: Two for a tango – 2nd Edition
Dates: October 25-26, 2022
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.
Joshua Chan (Colorado State University, US)
Short abstract: Metabolic modeling has been increasingly applied to predicting and understanding the metabolism of microbial communities. However, there are critical challenges in generating accurate predictions. One challenge is that the widely used flux balance analysis was developed initially for modeling single organisms and omits important ecological and evolutionary principles for multi-organism communities. We will discuss our progress in applying some of the relevant concepts such as population steady state and Nash equilibrium for improving predictions and going beyond the assumptions in flux balance analysis.
Pedro Mendes (University of Connecticut Health Center, US)
Title talk: Metabolic model development with COPASI
Short abstract: COPASI is a generic biochemical pathway modeling and simulation software. Its most basic features are to simulate the dynamics of biochemical models using differential equations or stochastic simulation. However the software contains many other algorithms that are useful for developing models, including their calibration through parameter estimation, and further analyses. I will briefly describe these features with illustrations applied to metabolic models.
Carlos Robello (Institut Pasteur de Montevideo and Faculty of Medicine, Uruguay)
Miguel Rocha (University of Minho, Portugal)
Title talk: Constraint-based modeling of human metabolism and artificial intelligence towards biomedical applications
Short abstract: Constraint-based modeling (CBM) allows to model cell’s metabolism at a genome-scale, considering some assumptions over the cellular systems (e.g. pseudo-steady state). While these assumptions are not valid in all cases, these approaches allowed to address relevant research and industrial questions, mainly within bioengineering. Some relevant results have been obtained, for example, in metabolic engineering, where combining flux balance analysis, and its variants, for phenotype prediction, with mathematical optimization methods, has allowed to develop rational strain design methods that greatly enhanced industrial endeavours.
The application of these approaches to biomedical problems has also been a prolific via for many research groups. In these cases, generic models of human metabolism have been reconstructed, combined with a plethora of available omics data, to reach methods that can predict the behaviour of metabolic systems, both in regular (healthy) conditions, and its deregulation in diseases. Although a large portfolio of publications and other scientific outcomes have been achieved in this direction, the road is still much ahead.
In this talk, some of these efforts of constraint-based modeling for biomedical applications will be reviewed, focusing on the effort to address cancer metabolism, one of the major application areas, but also other biomedical applications. We will review recent advances in the field, but also current limitations and future prospects. We will also discuss how Artificial Intelligence can be a relevant partner in this effort and how the community has been addressing its synergies with CBM to empower drug target discovery using metabolic models.
Emma Saavedra (Instituto Nacional de Cardiologia Ignacio Chavez, Mexico)
Short abstract: Kinetic Modeling of metabolic pathways is a bottom-up Systems Biology approach that builds computational models using detailed kinetic properties of the pathway enzymes/transporters and thermodynamic constraints of the reactions. A key aspect for accurate kinetic model predictions is that the enzyme parameters be determined under near-physiological experimental conditions, especially pH, temperature and medium composition. Metabolic Control Analysis (MCA) is a biochemical framework that allows elucidating the control structure of metabolic pathways (flux and metabolite concentration control coefficients) of each pathway component. We used COPASI software for kinetic modeling and MCA of the antioxidant defense and glucose metabolism in the human parasites Trypanosoma cruzi and Entamoeba histolytica as well as energy metabolism of cancer cells. After obtaining by modeling the control structure of these pathways, the enzymes/transporters with the highest flux control coefficients were identified, validated experimentally and proposed as targets with the highest therapeutic potential. Furthermore, along the iterative process of modelling and experimentation to generate models with highest predictive capacities, novel regulatory mechanisms and feedback loops amongst the pathway components were identified, which revealed some hidden intricacies of regulation in metabolic pathways.
Jörg Stelling (ETH Zürich, Switzerland)
Title talk: Model-based analysis of microbial communities
Short abstract: Microbial community analyses with genome-scale metabolic networks (GSMs) are relevant for many application areas, such as the analysis of the human microbiome. Many of such simulations rely on assumptions about the culturing environment, affecting if the culture may reach a metabolically stationary state with constant microbial concentrations. They also require assumptions on decision-making by the microbes: metabolic strategies can be in the interest of individual community members or of the whole community. Here, we present two approaches to address these aspects of community modeling, either by exploring the whole space of possible community interactions, or by making environment and decision making explicit. First, in the realm of metabolic pathway analysis, we define the minimal pathways (MPs) of a metabolic (sub)network as a subset of its elementary flux vectors. We enumerate or sample them efficiently by iterative minimization and a simple graph representation of MPs. Enumerating all minimal exchanges in a host-microbe model of the human gut predicts exchanges of metabolites associated with host-microbiota homeostasis and human health. Second, we investigate four combinations of assumptions on environment representation and decision-making, and provide novel mathematical formulations for community simulation. Our results stress that different assumption combinations give qualitatively different predictions on microbial coexistence by differential substrate utilization. Both approaches suggest that fundamental mechanisms of community interactions are under-explored in current GSM-based analysis with its strong focus on coexistence states due to division of labor.
Discussions on open questions
For this second edition of the workshop, besides the keynote talks, there will be also two slots, one per day, for a discussion on two specific open questions. Each one will be managed and moderated by two invited researchers.
For this edition, the open questions and invited researchers will be:
- Discussion 1:
- Discussion 2:
In order to cover a larger audience, the workshop will take place in the afternoon, CET time (French time), on both days.
|Tuesday 25||Wednesday 26|
|14h00-14h10 CET time||Introduction to the workshop||Introduction to the second day|
|14h10-14h40 CET time||Talk 1: Jörg Stelling||Talk 4: Miguel Rocha|
|14h40-14h55 CET time||Questions and discussion on Talk 1||Questions and discussion on Talk 4|
|14h55-15h05 CET time||Short break||Short break|
|15h05-15h35 CET time||Talk 2: Carlos Robello||Talk 5: Emma Saavedra|
|15h35-15h50 CET time||Questions and discussion on Talk 2||Questions and discussion on Talk 5|
|15h50-16h00 CET time||Short break||Short break|
|16h00-16h30 CET time||Discussion 1||Discussion 2|
|16h30-17h00 CET time||Talk 3: Pedro Mendes||Talk 6: Joshua Chan|
|17h00-17h15 CET time||Questions and discussion on Talk 3||Questions and discussion on Talk 6|
|17h15-17h30 CET time||Final discussion and conclusion of the first day||Final discussion and conclusion of the workshop|
Registration is free but mandatory. To register, go to this link.
Marie-France Sagot, Inria, CNRS and University of Lyon 1 UMR 5558, France
Ariel M. Silber, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo (USP), São Paulo, Brazil
Sara Tanqueiro, Project Manager of the H2020 Twinning project Olissipo
Susana Vinga, Instituto Superior Técnico and INESC-ID, Lisbon, Portugal, and coordinator of the H2020 Twinning project Olissipo
Information on the participants will be made available later.
The Inria Associated Team Capoeira has received funding from Fapesp in Brazil and from Inria in France.
The H2020 Twinning Project Olissipo has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951970.
One of the organisers of the workshop, Ariel M. Silber, is also supported by the project “A Global Network fo Neglected Tropical Diseases” of the GCRF-UKRI research programme.