computational analysis of vaccine components, formulations and optimization. We have developed a framework that combines computational tools for the study of immune function and vaccine development. This framework, named ImmunoGrid combines conceptual models of the immune system, models of antigen processing and presentation, system-level models of the immune system, Grid computing, and database technology to facilitate discovery, formulation and optimization of vaccines. ImmunoGrid modules share common conceptual models and ontologies. The ImmunoGrid portal offers access to educational simulators where previously defined cases can be displayed, and to research simulators that allow the development of new, or tuning of existing, computational models.
Dear Dr. This is a framework, named ImmunoGrid combines conceptual models of the immune system, models of antigen processing and presentation, system-level models of the immune system, Grid computing, and database technology to facilitate discovery, formulation and optimization of vaccines.
ImmunoGrid is a 3 year project funded by the European Union which began in February 2006 and establishes an infrastructure for the simulation of the immune system that integrates processes at molecular, cellular and organ levels. It is designed for applications that support clinical outcomes such as the design of vaccines, immunotherapies and optimization of immunization protocols. The first phase of the project concentrated on improving and extending current models of the immune system. We are now entering the second phase which will design and implement a human immune system simulator.
ImmunoGrid is an of collaborative environment in which well defined modeling and simulation tools are integrated with the expansive computational infrastructure. ImmunoGrid will include models, simulators and tools that address various further aspects of the immune
ImmunoGrid project, whose goal is to develop an immune system simulator which integrates molecular and system level models with Grid computing resources for large-scale tasks and databases. The ImmunoGrid project has proved that simulators can be used in conjunction with grid technologies for drug and vaccine discovery, demonstrating that it is possible to drastically reduce the developing time of such products.
The ImmunoGrid is an implementation of virtual human immune system using grid technologies. It can simulate immune processes at natural scale and provides tools for applications in clinical immunology and the design of vaccines and immunotherapies
This structure, called ImmunoGrid, incorporates computational immune system models, antigen treatment and presentation models, immune system-level models, grid computing and database technology to promote the discovery, formulation and optimization of vaccines The ImmunoGrid Consortium was funded by the European Commission in 2006 through the Framework 6 Programmed, with the goal of developing a natural model of the human immune system in conjunction with the Grid infrastructure required to apply this model to different immunological applications. The Consortium brings together researchers from many countries (Denmark, France, Italy, the UK and Australia) with expertise in the fields of immune informatics, Grid technologies, and cancer immunotherapy experimental models.
The ImmunoGrid project has proved that simulators can be used in conjunction with grid technologies for drug and vaccine discovery, demonstrating that it is possible to drastically reduce the developing time of such products.
The ImmunoGrid Consortium was funded by the European Commission in 2006 through the Framework 6 programme with the aim of developing a natural-scale model of the human immune system together with the Grid infrastructure necessary to apply this model to specific applications in the field of immunology
The ImmunoGrid portal offers access to educational simulators where previously defined cases can be displayed, and to research simulators that allow the development of new, or tuning of existing, computational models
The ImmunoGrid portal offers access to educational simulators where previously defined cases can be displayed, and to research simulators that allow the development of new, or tuning of existing, computational models
ImmunoGrid combines conceptual models of the immune system, models of antigen processing and presentation, system-level immune system models, Grid computing, and database technology to facilitate vaccine discovery, formulation and optimization (Figure 1). Currently ImmunoGrid has selected simulators of infection, cancer and atherosclerosis, and allows simulation of antigen interactions in lymph nodes. ImmunoGrid is an example of collaborative environment in which well defined modeling and simulation tools are integrated with the expansive computational infrastructure. In future, ImmunoGrid will include models, simulators and tools that address various further aspects of the immune system. In principle there is no limit as to what models can be included. Thanks to Grid infrastructure these tools can be distributed across different physical sources while the portal serves only as the common interface. The criteria for inclusion of tools into the ImmunoGrid framework are the accuracy and the utility of the tools, and compatibility with the conceptual framework.
In ImmunoGrid we use predictive models that are carefully validated, and are refined iteratively (predict-test-refine) using selected experiments. Modeling of immunoprevention vaccine against mammary carcinoma in genetically susceptible mice has been validated experimentally and shown to accurately reproduce immune responses for up to 52 weeks of age [15, 61, 68, 69] while additional model tuning is needed for later stages of the disease. The vaccination data indicate that for the older (e.g. second year of mouse life) immune system, the rate of immune responses are lower than in the younger (e.g. first year of mouse life) immune system (P.L. Lollini, unpublished data) and, accordingly, the model needs additional tuning for older mice. Modeling of HIV-1 infection in untreated as well as patients receiving HAART has been tuned against data from literature as well as clinical observations [64, 65]. CBS tools have been assessed as best performing prediction systems for HLA binders and T-cell epitopes, specific details can be found in [43, 45].
The model for atherogenesis is descriptive and it was tuned to match published experimental data—the detailed descriptions are available in [70]. The descriptive simulator of a lymph node reproduces experimental data published in [74–76].
ImmunoGrid is a project funded by the EU under Framework 6, to model and simulate the human immune system using grid computing at different physiological levels.
The ImmunoGrid is an implementation of virtual human immune system using grid technologies. It can simulate immune processes at natural scale and provides tools for applications in clinical immunology and the design of vaccines and immunotherapies.
The ImmunoGrid is an implementation of virtual human immune system using grid technologies. It can simulate immune processes at natural scale and provides tools for applications in clinical immunology and the design of vaccines and immunotherapies. The developed set of tools will be validated with experimental data and used in clinical applications for development of immunotherapies in cancer and chronic infections. Computational models are applicable because immune system is complex and has combinatorial nature, experimental approaches are expensive, and there are restrictions on the experimentation that can be performed in humans.
The ImmunoGrid project is highly relevant to the IST Call 4, its objectives, focus, and roadmaps. The target user groups are clinicians and the developers of the vaccines and immunotherapies. The ImmunoGrid applications will provide tools for clinicians and vaccine/immunotherapy developers for identification of optimal immunisation protocols. The unique component of this proposal is that it aims at connecting molecular level interactions (which regulate immune responses) with system level models (which study behaviour of the immune system as a whole). This is a novel approach to disease prevention and treatment which will help improve human health. Applications of the ImmunoGrid include modelling of the natural-size complex system on a large scale. Another important contribution of the ImmunoGrid will be the implementation of individual immune system models across the grid nodes.
Immunogrid will be able to simulate immune processes at natural scales and provide tools for applications in clinical immunology and for the design of vaccines and immunotherapies. The developed set of tools will be validated with experimental data and used in clinical applications for development of immunotherapies in cancer and chronic infections.
General notes:
Immunogrid is an EU funded project which started on the 1st February 2006 with the aim of simulating the human immune system by Grid technologies.
Currently ImmunoGrid has selected simulators of infection, cancer & atherosclerosis, & allows simulation of antigen interactions in lymph nodes. ImmunoGrid is an example of collaborative environment in which well defined modeling & simulation tools are integrated with the expansive computational infrastructure. In future, ImmunoGrid will include models, simulators & tools that address various further aspects of the immune system. In principle there is no limit as to what models can be included. Thanks to Grid infrastructure these tools can be distributed across different physical sources while the portal serves only as the common interface. See source:
ImmunoGrid is a 3 year project funded by the European Union which began in February 2006 and establishes an infrastructure for the simulation of the immune system that integrates processes at molecular, cellular and organ levels. It is designed for applications that support clinical outcomes such as the design of vaccines, immunotherapies and optimization of immunization protocols. The first phase of the project concentrated on improving and extending current models of the immune system. We are now entering the second phase which will design and implement a human immune system simulator.
ImmunoGrid aims to simulate the immune system at different physiological levels; as such, it fits within the broad description of Systems Biology and is a step towards the development of an in silico model of a human being (the Virtual Physiological Human).
To simulate the processes of the mammalian immune system at the molecular, cellular and tissue levels
To develop a simulator that can be applied practically to clinical applications, such as the design of vaccines and immunotherapies and the optimisation of vaccine schedules
To provide education and training in the area of computational immunology, including Web resources
It is designed for applications that support clinical outcomes such as the design of vaccines, immunotherapies and optimization of immunization protocols