Discovery of cancer vaccination protocols with a genetic algorithm driving an agent based simulator
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Summary
A simulator (SimTriplex) is developed which describes the immune response activated by Triplex vaccine and suggests that maximal protection could still be obtained with a number of vaccinations ~40% less than with the Chronic protocol.
- Type
- article
- Published
- 2006-07-20
- Cited by
- 80
- References
- 19
- Access
- Open access
- OpenAlex
- https://openalex.org/W16857043
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8156529
Keywords
Humanities, Art
References
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- A Comparative Analysis of Selection Schemes Used in Genetic Algorithms
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- A systems biology approach to multi-scale modelling and analysis of planar cell polarity in drosophila melanogaster wing
- Preclinical development of cancer vaccines
- Computational Systems Biology in Cancer: Modeling Methods and Applications
- The triplex vaccine effects in mammary carcinoma: A nonlinear model in tune with SimTriplex ☆
- Bioinformatics for study of autoimmunity
- MODELING TUMOR IMMUNOLOGY
- Immunoinformatics and Modeling Perspective of T Cell Epitope-Based Cancer Immunotherapy: A Holistic Picture
- The Separatrix Algorithm for Synthesis and Analysis of Stochastic Simulations with Applications in Disease Modeling
- Vaccine protocols optimization: in silico experiences.
- Modeling the adaptive immune system: predictions and simulations
- Development of Immune-Specific Interaction Potentials and Their Application in the Multi-Agent-System VaccImm
- Interactions Between the Immune System and Cancer: A Brief Review of Non-spatial Mathematical Models
- Harnessing bioinformatics to discover new vaccines.
- Computational Simulations of the Immune System for Personalized Medicine: State of the Art and Challenges
- Emerging Vaccine Informatics
- Using difference equations to find optimal tax structures on the SugarScape
- An algorithm designed for improving diagnostic efficiency by setting multi-cutoff values of multiple tumor markers
- The MWF method: A convergence theorem for homogeneous one-dimensional case
- Optimal Harvesting for a Predator-Prey Agent-Based Model using Difference Equations
- Multi-agent model of hepatitis C virus infection
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