Motta S - Search Results

1

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

Russo G, Pennisi M, Fichera E, Motta S, Raciti G, Viceconti M, Pappalardo F. Russo G, et al. Among authors: motta s. BMC Bioinformatics. 2020 Dec 14;21(Suppl 17):527. doi: 10.1186/s12859-020-03872-0. BMC Bioinformatics. 2020. PMID: 33308153 Free PMC article.

2

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

Lollini PL, Motta S, Pappalardo F. Lollini PL, et al. Among authors: motta s. BMC Bioinformatics. 2006 Jul 20;7:352. doi: 10.1186/1471-2105-7-352. BMC Bioinformatics. 2006. PMID: 16857043 Free PMC article.

3

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

Pennisi M, Pappalardo F, Palladini A, Nicoletti G, Nanni P, Lollini PL, Motta S. Pennisi M, et al. Among authors: motta s. BMC Bioinformatics. 2010 Oct 15;11 Suppl 7(Suppl 7):S13. doi: 10.1186/1471-2105-11-S7-S13. BMC Bioinformatics. 2010. PMID: 21106120 Free PMC article.

4

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

Pennisi M, Cavalieri S, Motta S, Pappalardo F. Pennisi M, et al. Among authors: motta s. BMC Bioinformatics. 2016 Dec 22;17(Suppl 19):498. doi: 10.1186/s12859-016-1361-6. BMC Bioinformatics. 2016. PMID: 28155706 Free PMC article.

5

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

Russo G, Sgroi G, Parasiliti Palumbo GA, Pennisi M, Juarez MA, Cardona PJ, Motta S, Walker KB, Fichera E, Viceconti M, Pappalardo F. Russo G, et al. Among authors: motta s. BMC Bioinformatics. 2020 Dec 14;21(Suppl 17):458. doi: 10.1186/s12859-020-03762-5. BMC Bioinformatics. 2020. PMID: 33308139 Free PMC article.

6

Optimal vaccination schedules using simulated annealing.

Pennisi M, Catanuto R, Pappalardo F, Motta S. Pennisi M, et al. Among authors: motta s. Bioinformatics. 2008 Aug 1;24(15):1740-2. doi: 10.1093/bioinformatics/btn260. Epub 2008 Jun 5. Bioinformatics. 2008. PMID: 18535084

7

Modeling immune system control of atherogenesis.

Pappalardo F, Musumeci S, Motta S. Pappalardo F, et al. Among authors: motta s. Bioinformatics. 2008 Aug 1;24(15):1715-21. doi: 10.1093/bioinformatics/btn306. Epub 2008 Jun 12. Bioinformatics. 2008. PMID: 18556669

8

Searching of optimal vaccination schedules: application of genetic algorithms to approach the problem in cancer immunoprevention.

Pennisi MA, Pappalardo F, Zhang P, Motta S. Pennisi MA, et al. Among authors: motta s. IEEE Eng Med Biol Mag. 2009 Jul-Aug;28(4):67-72. doi: 10.1109/MEMB.2009.932919. IEEE Eng Med Biol Mag. 2009. PMID: 19622427 No abstract available.

9

Vaccine protocols optimization: in silico experiences.

Pappalardo F, Pennisi M, Castiglione F, Motta S. Pappalardo F, et al. Among authors: motta s. Biotechnol Adv. 2010 Jan-Feb;28(1):82-93. doi: 10.1016/j.biotechadv.2009.10.001. Biotechnol Adv. 2010. PMID: 19833190 Review.

10

SimB16: modeling induced immune system response against B16-melanoma.

Pappalardo F, Martinez Forero I, Pennisi M, Palazon A, Melero I, Motta S. Pappalardo F, et al. Among authors: motta s. PLoS One. 2011;6(10):e26523. doi: 10.1371/journal.pone.0026523. Epub 2011 Oct 19. PLoS One. 2011. PMID: 22028894 Free PMC article.

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