Project-Team:DRACULA

Project-Team Dracula

Team, Visitors, External Collaborators

Overall Objectives

Research Program

New Software and Platforms

CelDyn

New Results

Mathematical models describing the interaction between cancer and immune cells in the lymph node
WASABI: a dynamic iterative framework for gene regulatory network inference
A multiscale model of platelet-fibrin thrombus growth in the flow
Mathematical modeling of platelet production
Nonlinear analysis of a model for yeast cell communication
Alzheimer’s disease and prion: An in vitro mathematical model
Calibration, Selection and Identifiability Analysis of a Mathematical Model of the in vitro Erythropoiesis in Normal and Perturbed Contexts
Model-based assessment of the role of uneven partitioning of molecular content on heterogeneity and regulation of differentiation in CD8 T-cell immune responses
Spatial lymphocyte dynamics in lymph nodes predicts the cytotoxic T-Cell frequency needed for HIV infection control
Drugs modulating stochastic gene expression affect the erythroid differentiation process
Stochastic gene expression with a multistate promoter: breaking down exact distributions
Cell generation dynamics underlying naive T-cell homeostasis in adult humans
Erythroid differentiation displays a peak of energy consumption concomitant with glycolytic metabolism rearrangements

Partnerships and Cooperations

Dissemination

Bibliography

Inria | Raweb 2019 | Presentation of the Project-Team DRACULA | DRACULA Web Site


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2019 Project-Team Activity Report

DRACULA

Multi-scale modelling of cell dynamics : application to hematopoiesis

Research centre: Grenoble - Rhône-Alpes

In partnership with: CNRS, Université Claude Bernard (Lyon 1)
In collaboration with: Institut Camille Jordan

Field: Digital Health, Biology and Earth
Theme: Modeling and Control for Life Sciences

Keywords:

Computer Science and Digital Science:

A6.1. - Methods in mathematical modeling
A6.1.1. - Continuous Modeling (PDE, ODE)
A6.1.2. - Stochastic Modeling
A6.1.3. - Discrete Modeling (multi-agent, people centered)
A6.1.4. - Multiscale modeling
A6.2.1. - Numerical analysis of PDE and ODE
A6.2.3. - Probabilistic methods
A6.2.4. - Statistical methods
A6.3.1. - Inverse problems

Other Research Topics and Application Domains:

B1.1.2. - Molecular and cellular biology
B1.1.3. - Developmental biology
B1.1.4. - Genetics and genomics
B1.1.5. - Immunology
B1.1.6. - Evolutionnary biology
B1.1.7. - Bioinformatics
B1.1.8. - Mathematical biology
B1.1.10. - Systems and synthetic biology
B2.2.1. - Cardiovascular and respiratory diseases
B2.2.3. - Cancer
B2.2.5. - Immune system diseases
B2.2.6. - Neurodegenerative diseases