icona publicationsPublications

Simone Pernice on Google Scholar or on Scopus.

Publications in refereed international journals


    2022
  1. A. Vernone, L. Bergandi, S. Pernice, G. Pescarmona, F. Silvagno. How the Competition for Cysteine May Promote Infection of SARS-CoV-2 by Triggering Oxidative Stress. Antioxidants 2023, 12, 483
    2. 2022
  2. F. Cordero, S. Ferrero, S. Pernice, et. al. . Dissecting MRD Kinetics By Automated Computational Analysis to Improve Outcome Prediction in Mantle Cell Lymphoma: A Bioinformatic Substudy from the Fondazione Italiana Linfomi (FIL) MCL0208 Clinical Trial. Blood (2022)
    3. D. Baccega, S. Pernice, P. Terna, P. Castagno, G. Moirano, L. Richiardi, M. Sereno, S. Rabellino, M. M. Maule, M. Beccuti. An agent-based model to support infection control strategies at school. Journal of Artificial Societies and Social Simulation (JASSS) 25, 3 (2022). 2020
  3. S. Pernice, L. Follia, A. Maglione, M. Pennisi, F. Pappalardo, F. Novelli, M. Clerico, M. Beccuti, F. Cordero, S. Rolla. Computational modeling of the immune response in Multiple Sclerosis using Epimod framework. BMC Bioinformatics.
  4. S. Pernice, P. Castagno, L. Marcotulli, M. M. Maule, L. Richiardi, G. Moirano, M. Sereno, F. Cordero, M. Beccuti. Impacts of Reopening Strategies for COVID-19 Epidemic: A Modeling Study in Piedmont Region. BMC Infectious Diseases. vol. 20, 798 (2020).

     icona file bibtex

  5. P. Castagno, S. Pernice, G. Ghetti, M. Povero, L. Pradelli, D. Paolotti, G. Balbo, Matteo Sereno, Marco Beccuti. A computational framework for modeling and studying pertussis epidemiology and vaccination. BMC Bioinformatics, vol. 21, 344 (2020).

     icona file bibtex

    6. 2019
  6. S. Pernice, M. Pennisi, G. Romano, A. Maglione, S. Cutrupi, F. Pappalardo, G. Balbo, M. Beccuti, F. Cordero and R. A. Calogero A computational approach based on the Colored Petri Net formalism for studying Multiple Sclerosis. BMC Bioinformatics, vol. 20, 2019

     icona file bibtex

  7. S. Pernice, L. Follia, G. Balbo, M. Luciano, G. Sartini, N. Totis, P. Lio I. Merelli, F. Cordero and M. Beccuti. Integrating Petri nets and Flux Balance methods in computationalbiology models: a methodological and computational practice. Fundamenta Informaticae, vol. 171, no. 1-4, pp. 367-392, 2019.

     icona file bibtex

Contributions in refereed conferences -Papers-


    2019
  1. S. Pernice, G. Romano, G. Russo, M. Beccuti, M. Pennisi, F. Pappalardo. Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration. In 3rd Int. Workshop on Computational Methods for the Immune System Function (CMISF 2019), San Diego, USA, November 2019. (To be published)
  2. L. Capra, M. Beccuti, M. D. Pierro, L. Follia, G. Franceschinis and S. Pernice. A Tool for the Automatic Derivation of Symbolic ODE from Symmetric Net Models. 27th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, (MASCOTS 2019) . Rennes, France, October 22-25 2019.(To be published)
  3. S. Pernice, M. Beccuti, G. Romano, M. Pennisi, A. Maglione, S. Cutrupi, F. Pappalardo, L. Capra, G. Franceschinis, M. D. Pierro, G. Balbo, F. Cordero and R. A. Calogero Multiple Sclerosis disease: a computational approach for investigating its drug interactions. 16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, (CIBB 2019) . Bergamo, Italy, September 04-06 2019. (To be published)
  4. G. Piaggeschi, N. Licheri , G. Romano, S. Pernice , L. Follia and G. Ferrero. MethylFASTQ: A Tool Simulating Bisulfite Sequencing Data. 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, (PDP 2019) . Pavia, Italy, February 13-15 2019.

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    5. 2018
  5. S. Pernice, M. Beccuti, P. Do', M. Pennisi, and F. Pappalardo. Estimating Daclizumab effects in Multiple Sclerosis using Stochastic Symmetric Nets. In 2nd Int. Workshop on Computational Methods for the Immune System Function (CMISF 2018) . December 3 - 6, 2018, Madrid, Spain.

     icona file bibtex

  6. M. Beccuti, P. Cazzaniga, M. Pennis, D. Besozzi, M. S. Nobile, S. Pernice, G. Russo, A. Tangherloni and F. Pappalardo. GPU accelerated analysis of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis. In 24th International European Conference on Parallel and Distributed Computing (Euro-Par 2018),vol. 11339 of Spring LNCS, pp. 626-637. August 29-31, 2018, Turin, Italy,

     icona file bibtex

  7. Beccuti, M. and Capra,L. and De Pierro,M. and Franceschinis,G. and Pernice,S. Deriving Symbolic Ordinary Differential Equations from Stochastic Symmetric Nets Without Unfolding. EPEW 2018 15th European Performance Engineering Workshop. Paris, France, 29-30 Oct 2018.

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  8. Follia, L. and Tordini,F. and Pernice, S. and Romano,G. and Piaggeschi,G. B. and Ferrero,G. ParallNormal: An Efficient Variant Calling Pipeline for Unmatched Sequencing Data. 26th Euromicro International Conference on Parallel, Distributed and network-based Processing. Cambridge, UK, Mar 2018.

     icona file bibtex

Contributions in refereed conferences -Posters-


    2019
  1. Follia L., Ferrero M., Ferrero G., Pernice S., Dalmasso G., Visentin L., Sirovich R. and Cordero F. Mathematical evolutionary cancer models: a new frontier for cancer treatment. BITS annual meeting 2019. Palermo, Italy June 26-28, 2019.

    2. 2018
  2. P. Castagno, S. Pernice, M. Povero, G. Ghetti, L. Pradelli, D. Paolotti, A. Tozzi, M. Beccuti, M. Sereno A computational model for studying the effects of different vaccine policies on pertussis epidiemology. BITS annual meeting 2018. Turin, Italy June 27-29, 2018.