Address

Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti" Via dei Taurini, 19 00185 Roma - Italy
Stanza: 301

Contact Information

Call: 301

Email: gabriella. mavelli@iasi.cnr.it

Personal site: www.iasi.cnr.it

Gabriella Mavelli

Role: Researcher

Research group: BIOSYS

Mathematical modeling, simulation and control of complex systems for static/dynamic, deterministic/stochastic systems. Systems Biology and Bioinformatics. Currently, analysis and ex novo recognition of Biological Pathways. Since 2012 member of SYSBIO. Since 2019 associated to DEWS Center of Excellence.
Settori ERC:
LS2_13 Systems biology
PE1_21 Application of mathematics in sciences
PE1_20 Control theory, optimisation and operational research
LS2_11 Bioinformatics and computational biology

Recent publications

  1. 2020
    On a stochastic approach to model the double phosphorylation/dephosphorylation cycle
  2. 2019
    Combining knowledge-based approach with logic data mining techniques to improve data querying and analysis on Alzheimer’s Disease data
    Giulia Antognoli, Ivan Arisi, Paola Bertolazzi, Eleonora Cappelli, Federica Conte, Fabio Cumbo, Giulia Fiscon, Gabriella Mavelli, Federico Perazzoni, Michele Sonnessa, Francesco Taglino, Roger Voyat
  3. 2019
    A DiVaMo analysis method to identify relevant metabolic pathways under pathological conditions of Alzheimer and breast cancer
    Alessandro Ingrosso, Gabriella Mavelli, Anna Maria Colangelo, Federica Aprea, Francesca Martorana, Daniela Gaglio, Lilia Alberghina, Giovanni Felici, Paola Bertolazzi
  4. 2019
    A Stochastic Optimal Regulator for a Class of Nonlinear Systems
  5. 2016
    Are metabolic processes affected during astrogliosis? DiVaMo, a non-standard analysis method, identifies new modifications in metabolic pathways in LPS and MCAO models of gliosis
    Giovanni Felici, Gabriella Mavelli, A. M. Colangelo, M. Papa, L. Alberghina, Paola Bertolazzi
  6. 2016
    Block-tridiagonal state-space realization of Chemical Master Equations: A tool to compute explicit solutions
  7. 2016
    Block-tridiagonal state-space realization of Chemical Master Equations: a tool to compute explicit solutions
  8. 2014
    Quasi Steady-State Approximations (QSSAs) in the CME-based stochastic framework
  9. 2014
    Control systems and coordination protocols of the secretory pathway.
    Alberto Luini, Gabriella Mavelli, Juan Jung, Jorge Cancino
  10. 2014
    Quasi-Steady-State Approximations of the Chemical Master Equation in Enzyme Kinetics – Application to the Double Phosphorylation/ Dephosphorylation Cycle