Marzio Pennisi | University of Catania (original) (raw)
Papers by Marzio Pennisi
Genetic algorithms (GAs) are a particular class of evolutionary algorithms that use techniques in... more Genetic algorithms (GAs) are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology. These are widely used in different areas of bioinformatics. In immunoinformatics, a common optimization problem is the search of optimal vaccination schedules. The problem of defining optimal schedules is particularly acute in cancer immunopreventive approaches, which requires a sequence of vaccine administrations to
Bioinformatics (Oxford, England), Jan 25, 2015
Many important problems in cell biology require dense nonlinear interactions between functional m... more Many important problems in cell biology require dense nonlinear interactions between functional modules to be considered. The importance of computer simulation in understanding cellular processes is now widely accepted, and a variety of simulation algorithms useful for studying certain subsystems have been designed. Expansion of hematopoietic stem and progenitor cells (HSC/HPC) in ex vivo culture with cytokines and small molecules is a method to increase the restricted numbers of stem cells found in umbilical cord blood while also enhancing the content of early engrafting neutrophil and platelet precursors. The efficacy of the expanded product depends on the composition of the cocktail of cytokines and small molecules used for culture. Testing the influence of a cytokine or small molecule on the expansion of HSC/HPC is a laborious and expensive process. We therefore developed a computational model based on cellular signaling interactions that predict the influence of a cytokine on t...
We present a preliminary ODE model to sketch the immune response of cytotoxic T cells against can... more We present a preliminary ODE model to sketch the immune response of cytotoxic T cells against cancer through the use of pulsed autologous dendritic cells. The model is partially based on data coming from experiments that are presently in progress in the wet lab of our collaborators, but it can be applied in principle to different tumors. To this end,
Pharmacological Research, 2015
Excepting the Peripheral and Central Nervous Systems, the Immune System is the most complex of so... more Excepting the Peripheral and Central Nervous Systems, the Immune System is the most complex of somatic systems in higher animals. This complexity manifests itself at many levels from the molecular to that of the whole organism. Much insight into this confounding complexity can be gained through computational simulation. Such simulations range in application from epitope prediction through to the modelling of vaccination strategies. In this review, we evaluate selectively various key applications relevant to computational vaccinology: these include technique that operates at different scale that is, from molecular to organisms and even to population level.
Abstract. Atherosclerosis is a pathology where the immune system control plays a relevant role. W... more Abstract. Atherosclerosis is a pathology where the immune system control plays a relevant role. We present studies on the increased atherosclerosis risk using an agent based model of atherogenesis. It is well known that the major risk in atherosclerosis is the persistent ...
1 Department of Mathematics and Computer Science, University of Catania 2 Faculty of Pharmacy, Un... more 1 Department of Mathematics and Computer Science, University of Catania 2 Faculty of Pharmacy, University of Catania 3 Istituto per le applicazioni del calcolo Mauro Picone, CNR, Roma 4 Department of Biological Sciences and Institute of Structural and Molecular ...
Cancer Immunoprevention: What Can We Learn from in Silico Models? Francesco Pappalardo1, Marzio P... more Cancer Immunoprevention: What Can We Learn from in Silico Models? Francesco Pappalardo1, Marzio Pennisi1, Alessandro Cincotti2, Ferdinando Chiacchio1, Santo Motta1, and Pier-Luigi Lollini3 1 University of Catania, Dept. of Mathematics and Computer ...
D.-S. Huang et al. (Eds.): ICIC 2010, LNCS 6215, pp. 285290, 2010. © Springer-Verlag Berlin Heid... more D.-S. Huang et al. (Eds.): ICIC 2010, LNCS 6215, pp. 285290, 2010. © Springer-Verlag Berlin Heidelberg 2010 ... GRIDUISS A Grid Based Universal Immune System ... Francesco Pappalardo1,*, Marzio Pennisi1, Ferdinando Chiacchio1, Alessandro Cincotti2, and ...
Abstract A typical, and unfortunately very spread, endogenous cancer is represented by the mammar... more Abstract A typical, and unfortunately very spread, endogenous cancer is represented by the mammary carcinoma. Lollini et al.[1] prevented mammary carcinogenesis in HER-2/neu transgenic mice using the Triplex cellular vaccine under a Chronic schedule (vaccine ...
Genetic algorithms (GAs) are a particular class of evolutionary algorithms that use techniques in... more Genetic algorithms (GAs) are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology. These are widely used in different areas of bioinformatics. In immunoinformatics, a common optimization problem is the search of optimal vaccination schedules. The problem of defining optimal schedules is particularly acute in cancer immunopreventive approaches, which requires a sequence of vaccine administrations to
Bioinformatics (Oxford, England), Jan 25, 2015
Many important problems in cell biology require dense nonlinear interactions between functional m... more Many important problems in cell biology require dense nonlinear interactions between functional modules to be considered. The importance of computer simulation in understanding cellular processes is now widely accepted, and a variety of simulation algorithms useful for studying certain subsystems have been designed. Expansion of hematopoietic stem and progenitor cells (HSC/HPC) in ex vivo culture with cytokines and small molecules is a method to increase the restricted numbers of stem cells found in umbilical cord blood while also enhancing the content of early engrafting neutrophil and platelet precursors. The efficacy of the expanded product depends on the composition of the cocktail of cytokines and small molecules used for culture. Testing the influence of a cytokine or small molecule on the expansion of HSC/HPC is a laborious and expensive process. We therefore developed a computational model based on cellular signaling interactions that predict the influence of a cytokine on t...
We present a preliminary ODE model to sketch the immune response of cytotoxic T cells against can... more We present a preliminary ODE model to sketch the immune response of cytotoxic T cells against cancer through the use of pulsed autologous dendritic cells. The model is partially based on data coming from experiments that are presently in progress in the wet lab of our collaborators, but it can be applied in principle to different tumors. To this end,
Pharmacological Research, 2015
Excepting the Peripheral and Central Nervous Systems, the Immune System is the most complex of so... more Excepting the Peripheral and Central Nervous Systems, the Immune System is the most complex of somatic systems in higher animals. This complexity manifests itself at many levels from the molecular to that of the whole organism. Much insight into this confounding complexity can be gained through computational simulation. Such simulations range in application from epitope prediction through to the modelling of vaccination strategies. In this review, we evaluate selectively various key applications relevant to computational vaccinology: these include technique that operates at different scale that is, from molecular to organisms and even to population level.
Abstract. Atherosclerosis is a pathology where the immune system control plays a relevant role. W... more Abstract. Atherosclerosis is a pathology where the immune system control plays a relevant role. We present studies on the increased atherosclerosis risk using an agent based model of atherogenesis. It is well known that the major risk in atherosclerosis is the persistent ...
1 Department of Mathematics and Computer Science, University of Catania 2 Faculty of Pharmacy, Un... more 1 Department of Mathematics and Computer Science, University of Catania 2 Faculty of Pharmacy, University of Catania 3 Istituto per le applicazioni del calcolo Mauro Picone, CNR, Roma 4 Department of Biological Sciences and Institute of Structural and Molecular ...
Cancer Immunoprevention: What Can We Learn from in Silico Models? Francesco Pappalardo1, Marzio P... more Cancer Immunoprevention: What Can We Learn from in Silico Models? Francesco Pappalardo1, Marzio Pennisi1, Alessandro Cincotti2, Ferdinando Chiacchio1, Santo Motta1, and Pier-Luigi Lollini3 1 University of Catania, Dept. of Mathematics and Computer ...
D.-S. Huang et al. (Eds.): ICIC 2010, LNCS 6215, pp. 285290, 2010. © Springer-Verlag Berlin Heid... more D.-S. Huang et al. (Eds.): ICIC 2010, LNCS 6215, pp. 285290, 2010. © Springer-Verlag Berlin Heidelberg 2010 ... GRIDUISS A Grid Based Universal Immune System ... Francesco Pappalardo1,*, Marzio Pennisi1, Ferdinando Chiacchio1, Alessandro Cincotti2, and ...
Abstract A typical, and unfortunately very spread, endogenous cancer is represented by the mammar... more Abstract A typical, and unfortunately very spread, endogenous cancer is represented by the mammary carcinoma. Lollini et al.[1] prevented mammary carcinogenesis in HER-2/neu transgenic mice using the Triplex cellular vaccine under a Chronic schedule (vaccine ...