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In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform

BMC bioinformatics, 2020-12, Vol.21 (Suppl 17), p.527-527, Article 527

2020

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Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer

PloS one, 2016-03, Vol.11 (3), p.e0152104

2016

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Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB

BMC bioinformatics, 2020-12, Vol.21 (Suppl 17), p.458-458, Article 458

2020

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Modeling Biology Spanning Different Scales : An Open Challenge

BioMed research international, 2014-01, Vol.2014 (2014), p.1-9

2014

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SimB16: modeling induced immune system response against B16-melanoma

PloS one, 2011-10, Vol.6 (10), p.e26523-e26523

2011

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The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis

Cells (Basel, Switzerland), 2020-03, Vol.9 (3), p.586

2020

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Modeling the competition between lung metastases and the immune system using agents

BMC bioinformatics, 2010-10, Vol.11 Suppl 7 (S7), p.S13-S13, Article S13

2010

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Discovery of cancer vaccination protocols with a genetic algorithm driving an agent based simulator

BMC bioinformatics, 2006-07, Vol.7 (1), p.352-352, Article 352

2006

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Mathematical modeling of biological systems

Briefings in bioinformatics, 2013-07, Vol.14 (4), p.411-422

2013

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Agent-Based Modeling of the Immune System : NetLogo, a Promising Framework

BioMed research international, 2014-01, Vol.2014 (2014), p.1-6

2014

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A methodological approach for using high-level Petri Nets to model the immune system response

BMC bioinformatics, 2016-12, Vol.17 (Suppl 19), p.498-498, Article 498

2016

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From immune system to semiconductors – what next?: Comment on “Thermostatted kinetic equations as models for complex systems in physics and life sciences” by Carlo Bianca

Physics of life reviews, 2012-12, Vol.9 (4), p.406-409

Motta, Santo

2012

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Combining bottom–up and top–down approaches for knowledge discovery: Comment on “Towards a unified approach in the modeling of fibrosis: A review with research perspectives” by Martine Ben Amar and Carlo Bianca

Physics of life reviews, 2016-07, Vol.17, p.105-107

2016

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Computational modelling approaches to vaccinology

Pharmacological research, 2015-02, Vol.92, p.40-45

2015

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Combining bottom–up and top–down approaches for knowledge discovery

Physics of life reviews, 2016-07, Vol.17, p.105-107

2016

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From immune system to semiconductors – what next?

Physics of life reviews, 2012-12, Vol.9 (4), p.406-409

Motta, Santo

2012

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Combining cellular automata and lattice Boltzmann method to model multiscale avascular tumor growth coupled with nutrient diffusion and immune competition

Journal of immunological methods, 2012-02, Vol.376 (1-2), p.55-68

2012

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Agent based modeling of the effects of potential treatments over the blood–brain barrier in multiple sclerosis

Journal of immunological methods, 2015-12, Vol.427, p.6-12

2015

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Computational modeling of the expansion of human cord blood CD133+ hematopoietic stem/progenitor cells with different cytokine combinations

Bioinformatics (Oxford, England), 2015-08, Vol.31 (15), p.2514-2522

2015

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A computational model to predict the immune system activation by citrus-derived vaccine adjuvants

Bioinformatics (Oxford, England), 2016-09, Vol.32 (17), p.2672-2680

2016

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Modeling immune system control of atherogenesis

Bioinformatics, 2008-08, Vol.24 (15), p.1715-1721

2008

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Cancer Vaccines: State of the Art of the Computational Modeling Approaches

BioMed research international, 2013-01, Vol.2013 (2013), p.1-6

2013

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Computational modeling of brain pathologies: the case of multiple sclerosis

Briefings in bioinformatics, 2018-03, Vol.19 (2), p.318-324

2018

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Current Issues in Tumor Immunology

Current bioinformatics, 2010-09, Vol.5 (3), p.164-175

2010

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Vaccine protocols optimization: In silico experiences

Biotechnology advances, 2010, Vol.28 (1), p.82-93

2010

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In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform

Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer

Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB

Modeling Biology Spanning Different Scales : An Open Challenge

SimB16: modeling induced immune system response against B16-melanoma

The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis

Modeling the competition between lung metastases and the immune system using agents

Discovery of cancer vaccination protocols with a genetic algorithm driving an agent based simulator

Mathematical modeling of biological systems

Agent-Based Modeling of the Immune System : NetLogo, a Promising Framework

A methodological approach for using high-level Petri Nets to model the immune system response

From immune system to semiconductors – what next?: Comment on “Thermostatted kinetic equations as models for complex systems in physics and life sciences” by Carlo Bianca

Combining bottom–up and top–down approaches for knowledge discovery: Comment on “Towards a unified approach in the modeling of fibrosis: A review with research perspectives” by Martine Ben Amar and Carlo Bianca

Computational modelling approaches to vaccinology

Combining bottom–up and top–down approaches for knowledge discovery

From immune system to semiconductors – what next?

Combining cellular automata and lattice Boltzmann method to model multiscale avascular tumor growth coupled with nutrient diffusion and immune competition

Agent based modeling of the effects of potential treatments over the blood–brain barrier in multiple sclerosis

Computational modeling of the expansion of human cord blood CD133+ hematopoietic stem/progenitor cells with different cytokine combinations

A computational model to predict the immune system activation by citrus-derived vaccine adjuvants

Modeling immune system control of atherogenesis

Cancer Vaccines: State of the Art of the Computational Modeling Approaches

Computational modeling of brain pathologies: the case of multiple sclerosis

Current Issues in Tumor Immunology

Vaccine protocols optimization: In silico experiences

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