Farmacologia dei Sistemi Quantitativa / Quantitative System Pharmacology

Articoli / Articles

• Rosa AC, Benetti E, Gallicchio M, Boscaro V, Cangemi L, Dianzani C, Miglio G. Analyzing Cysteine Site Neighbors in Proteins to Reveal Dimethyl Fumarate Targets. Proteomics 2019 Feb;19(4):e1800301. doi: 10.1002/pmic.201800301.
• Miglio G. Analysis of fumarate-sensitive proteins and sites by exploiting residue interaction networks. Amino Acids 2018 May ;50(5):647-652. doi: 10.1007/s00726-018-2548-0.
• Miglio G, Sabatino AD, Veglia E, Giraudo MT, Beccuti M, Cordero F. A computational analysis of S-(2-succino)cysteine sites in proteins. Biochim Biophys Acta 2016 Feb;1864(2):211-8. doi: 10.1016/j.bbapap.2015.11.003.

Abstract / Abstracts

• Rosa A.C., Miglio G. Analysis of residue interaction networks to improve prediction of protein succination. British Pharmacological Society - Pharmacology 2017.
• Ferrara B., Miglio G. Analysis of Topological Features for the Prioritization of Protein Succination. 38° Congresso Nazionale della Società Italiana di Farmacologia, 2017.
• Rosa A.C., Benetti E., Audisio J., Miglio G. Targets of dimethyl fumarate: a novel predictive method based on concepts of network theory and machine learning. 39° Congresso Nazionale della Società Italiana di Farmacologia, 2019.
• Miglio G., Romanò A., Sabatino A., Cordero F., Beccuti M., Giraudo M.T., Veglia E., Fantozzi R. The Mode of Action of Dimethyl Fumarate: Protein Succination and Anti-Pyroptotic Effects. pA2 Online 2014.

Tesi / Thesis

• Alessandra Romanò. The mode of action of fumaric acid esters: protein succination and anti-pyroptotic effects. Chimica e Tecnologua Farmaceutiche, AA 2013/1014.
• Francesca Damiano. Analysis and prediction of succination sites in proteins. Farmacia, AA 2015/2016.
• Carlotta Corgiat Loia. Functional S-(2-succinyl)cysteine sites in proteins: prediction through network analysis of interacting residues. Farmacia, AA 2015/2016.
• Jessica Audisio. Prediction of cysteine reactivity toward either dimethylfumarate or fumarate combining concepts of network theory and machine learning. Farmacia, AA 2016/2017.
  
  

Modellizzazione e simulazione / Modelling & Simulation

Abstract / Abstracts

• Basso L., Rosa A.C., Benetti E., Miglio G. Natalizumab dosing in multiple sclerosis: in silico assessment of dosing strategies. Pharmadvances 2021: 3; 215-216.

Tesi / Thesis

• Poonam Naruka Kanwar. Assessment of gentamicin-based therapy in neonates through pharmacokinetic-pharmacodynamic simulation. Farmacia, AA 2017/2018.
• Elena Vaj. Ampicillin for the treatment of neonatal bacterial infections: a pharmacometric assessment by stochastic simulations. Farmacia, AA 2017/2018.
• Viviana Mina. Design and implementation of a clinical decision support system for the optimization of ampicillin and gentamicin-based therapies intended for infants. Farmacia, AA 2018/2019.
• Miryam Deborah Zamaro. Interstudy variability in population pharmacokinetic models for vancomycin administered to neonates. Farmacia, AA 2018/2019.
• Edoardo Pierobon. Natalizumab EID (Extended Interval Dosing): trial clinico simulato su base farmacometrica e analisi budget impact. Scuola di Specializzazione in Farmacia Ospedaliera, AA 2018/2019.
• Serena Ruzza. Natalizumab for the treatment of multiple sclerosis: strategies for the optimization of dosage regimens. Farmacia, AA 2019/2020.