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Modelling vaccination schedules for a cancer immunoprevention vaccine

Santo Motta, Filippo Castiglione, Pierluigi Lollini, Francesco Pappalardo
2005 Immunome Research  
We found that, applying the vaccination scheme used in in-vivo experiments, the number of vaccine injections can be reduced roughly by 30%.  ...  In vivo experiments have shown the effectiveness of Triplex vaccine in protection of mice from mammary carcinoma.  ...  Finally, by taking into account what we learned from computer experiments, we systematically search for a new schedule alternative to the chronic one, which could prevent the solid tumor formation (section  ... 
doi:10.1186/1745-7580-1-5 pmid:16305756 pmcid:PMC1287065 fatcat:5d4tzh7p3zap3jj6vgd2fiypi4

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

Francesco Pappalardo, Ferdinando Chiacchio, Santo Motta
2013 BioMed Research International  
Indeed, computational models can be used in addition to biological models.  ...  We now experience that biologists and medical doctors are progressively convinced that modeling can be of great help in understanding experimental results and planning new experiments.  ...  In what follows, we �rst deal with a brief overview of different types of existing cancer vaccines; we then focus on modeling cancer vaccines and �nally we draw our �nal remarks.  ... 
doi:10.1155/2013/106407 pmid:23484073 pmcid:PMC3591114 fatcat:vaugstner5f37ij2gnayafynky

Mathematical and Computational Models in Tumor Immunology

F. Pappalardo, A. Palladini, M. Pennisi, F. Castiglione, S. Motta
2012 Mathematical Modelling of Natural Phenomena  
Cancer vaccines: state of the art of the computational modeling approaches. D. Alemani, F. Pappalardo, M. Pennisi, S. Motta, and V. Brusic.  ...  Combining cellular automata and lattice Boltzmann method to model multiscale avascular tumor growth coupled with nutrient diffusion and immune competition.  ...  -L. (2010) Cancer Immunoprevention: What Can We Learn From in silico Models?  ... 
doi:10.1051/mmnp/20127312 fatcat:pneatkorf5d7bfp7hjbodsxyau

Computational modelling approaches to vaccinology

Francesco Pappalardo, Darren Flower, Giulia Russo, Marzio Pennisi, Santo Motta
2015 Pharmacological Research  
Such simulations range in application from epitope prediction through to the modeling of vaccination strategies.  ...  In this review, we evaluate selectively various key applications relevant to computational vaccinology: these include technique that operates at different scale i.e., from molecular to organisms and even  ...  Yet despite the daunting emergent, higher-level behaviour we see, much can still be learned from attempting to understand and model the underlying molecular components that comprise the immune system.  ... 
doi:10.1016/j.phrs.2014.08.006 pmid:25224605 fatcat:orqjxowh4basbdtlji6xil2qoy

Vaccine protocols optimization: In silico experiences

Francesco Pappalardo, Marzio Pennisi, Filippo Castiglione, Santo Motta
2010 Biotechnology Advances  
In this article, we focus on the difficult problem of the search for an optimal vaccination dosage in the field of tumor immunology, that is a major issue in biomedical research.  ...  Vaccine development is a lengthy process that includes expensive laboratory experiments in order to assess safety and effectiveness.  ...  We can identify four steps in the development of new medicines.  ... 
doi:10.1016/j.biotechadv.2009.10.001 pmid:19833190 fatcat:6of44cckene4zblqpabhen2j3i

ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization

F. Pappalardo, M. D. Halling-Brown, N. Rapin, P. Zhang, D. Alemani, A. Emerson, P. Paci, P. Duroux, M. Pennisi, A. Palladini, O. Miotto, D. Churchill (+11 others)
2008 Briefings in Bioinformatics  
His research interests focus on merging computational modeling and machine learning methods to explain experimental data in Biology.  ...  Francesco Pappalardo earned his MSc and PhD degrees from University of Catania. He is a postdoctoral fellow and has a temporary professorial appointment in Mathematics at the University of Catania.  ...  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.  ... 
doi:10.1093/bib/bbp014 pmid:19383844 fatcat:b6jsotye35g2tcpxwqftgsj7vm

Combined Intralipid-urotherapy for Patients with Cancer: A Creative Review

Joseph Eldor
2017 Journal of Cancer and Tumor International  
Intralipid can increase the response to the cancer antigens in the intestinal lymphatic system against which antibodies may be produced.  ...  The article relates in general to intralipid and its use in cancer therapy. Specifically, it relates to the combined intralipid-urotherapy for treating cancer, and methods of such treatment.  ...  The view of what the immune system can see is extending to mutations and parts of the genome that are normally invisible [100] .  ... 
doi:10.9734/jcti/2017/32940 fatcat:f43d5y2wdvd7jpm7pyycerh74e

GRIDUISS – A Grid Based Universal Immune System Simulator Framework [chapter]

Francesco Pappalardo, Marzio Pennisi, Ferdinando Chiacchio, Alessandro Cincotti, Santo Motta
2010 Lecture Notes in Computer Science  
This framework has been inspired from the EC funded ImmunoGrid project.  ...  GRIDUISS is a simulation framework to model the immune system using grid technologies. It integrates simulation engines, optimization techniques and other prediction models.  ...  refinements by means of interdisciplinary efforts and opening the scene to what can be considered the in silico prediction methods.  ... 
doi:10.1007/978-3-642-14922-1_36 fatcat:ytml2o4jsnb3rfdlhbblbhzswu

DAI (DLM-1/ZBP1) as a Genetic Adjuvant for DNA Vaccines That Promotes Effective Antitumor CTL Immunity

Alvaro Lladser, Dimitrios Mougiakakos, Helena Tufvesson, Maarten A Ligtenberg, Andrew FG Quest, Rolf Kiessling, Karl Ljungberg
2011 Molecular Therapy  
In addition, these cells are able to protect bystander T and NK cells from oxidative stress mediated dysfunction.  ...  This strategy of attenuating the negative effects derived from the tumor microenvironment can potentially increase the efficacy of chimeric antigen receptor based passive immunotherapy.  ...  ACKNOWLEDGMENTS This work was supported by grants to R.K. from the Swedish Cancer Society, the Swedish Medical Research Council, the Cancer Society of Stockholm, the European Union (Grant "EUCAAD" and  ... 
doi:10.1038/mt.2010.268 pmid:21157438 pmcid:PMC3048184 fatcat:gyywn57byndntbhilqo5fo7uwy

31st European Society for Dermatological Research (ESDR) Meeting 2001

2001 Journal of Investigative Dermatology  
In this work we identi®ed the enzymes, which release the ectodomain from the cell surface.  ...  We conclude that the proteasome inhibitor PS-519 reduces superantigen mediated T-cell activation in vitro and shows antipsoriatic ef®cacy in the SCID-hu model. ; ²University of Oulu, Finland; ³Scripps  ...  We developed a skin organ culture model, where UV-responses seen in vivo can be reproduced in vitro.  ... 
doi:10.1046/j.1523-1747.2001.00117-3.x fatcat:6d465i4jovb3xie6bf2wqbgw2a

2021 Summer Experience Program Abstracts

2021 2021 Summer Experience Program Abstracts   unpublished
In this program, students are matched with a mentor from MD Anderson's research or clinical faculty.  ...  We are indebted to our distinguished faculty presenters and speakers who provided the participants with weekly Career Conversations, Wednesday Lecture Series, Cancer Biology Bootcamp, Elevator Speech Worskshop  ...  MELK-In-30e to inhibit MELK-mediated cancer stemness.  ... 
doi:10.52519/00004 fatcat:q46xhl4fhvgm5ch5oym3yqxcse