User:Lorenzo Pasotti

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Lorenzo Pasotti
Lorenzo Pasotti
  • Lorenzo Pasotti
  • University of Pavia
  • via Ferrata 5, Pavia I-27100, Italy
  • lorenzo dot pasotti at unipv dot it

I work on synthetic biology in the Laboratory Bioinformatics, Mathematical Modelling and Synthetic Biology (BMS) and in the molecular biology lab of the Centre for Health Technologies (see Magni lab on OWW), University of Pavia.

Education and current position

  • 2015-, Researcher, University of Pavia
  • 2012-2015, Postdoc researcher, University of Pavia
  • Feb-Sep 2011, visiting PhD student, School of Biological Sciences, University of Edinburgh, UK
  • 2008-2012, PhD, Bioengineering and Bioinformatics, University of Pavia
  • 2006-2008, MS, Biomedical Informatics, University of Pavia
  • 2003-2006, BS, Biomedical Engineering, University of Pavia

Research interests

  1. Modularity of biological parts
  2. Pathway engineering for biofuel production
  3. Bottom-up design and modelling of gene networks


  1. Massaiu I, Pasotti L, Casanova M, Politi N, Zucca S, Cusella De Angelis MG, Magni P (2015) Quantification of the gene silencing performances of rationally-designed synthetic small RNAs. Systems and Synthetic Biology, 9(3):107-23. Link
  2. Pasotti L, Zucca S, Casanova M, Politi N, Massaiu I, Mazzini G, Micoli G, Calvio C, Cusella De Angelis MG, Magni P (2015) Methods for genetic optimization of biocatalysts for biofuel production from dairy waste through synthetic biology. IEEE EMBC proceedings, Milano, Italy, August 25-29.
  3. Swat MJ, Moodie S, Wimalaratne SM, Kristensen NR, Lavielle M, Mari A, Magni P, Smith MK, Bizzotto R, Pasotti L et al. (2015) Pharmacometrics Markup Language (PharmML): opening new perspectives for model exchange in drug development. CPT Pharmacometrics and Systems Pharmacology, 4(6):316–319. Link
  4. Zucca S, Pasotti L, Politi N, Casanova M, Mazzini G, Cusella De Angelis MG, Magni P (2015) Multi-faceted characterization of a novel LuxR-repressible promoter library for Escherichia coli. PLoS ONE, 10(5):e0126264. Link
  5. Politi N, Pasotti L, Zucca S, Magni P (2015) Modelling the effects of cell-to-cell variability on the output of interconnected gene networks in bacterial populations. BMC Systems Biology, 9(Suppl 3):S6. Link
  6. Tiengo A, Pasotti L, Barbarini N, Magni P (2015) PhosphoHunter: An efficient software tool for phosphopeptide identification. Advances in Bioinformatics, Article ID: 382869. Link
  7. Pasotti L, Zucca S (2014) Advances and computational tools towards predictable design in biological engineering. Computational and Mathematical Methods in Medicine, Article ID: 369681. Link
  8. Politi N, Pasotti L, Zucca S, Casanova M, Micoli G, Cusella De Angelis MG, Magni P (2014) Half-life measurements of chemical inducers for recombinant gene expression. Journal of Biological Engineering, 8:5. Link
  9. Pasotti L, Zucca S, Magni P (2013) Modelling for synthetic biology. Book chapter in: Modeling Methodology for Physiology and Medicine: Second Edition (Elsevier), p.545-564. DOI: 10.1016/B978-0-12-411557-6.00023-9.
  10. Zucca S, Pasotti L, Politi N, Cusella De Angelis MG, Magni P (2013) A standard vector for the chromosomal integration and characterization of BioBrickTM parts in Escherichia coli. Journal of Biological Engineering, 7:12. Link
  11. Pasotti L, Politi N, Zucca S, Cusella De Angelis MG, Magni P (2012) Bottom-up engineering of biological systems through standard bricks: A modularity study on basic parts and devices. PLoS ONE, 7(7). Link
  12. Zucca S, Pasotti L, Mazzini G, Cusella De Angelis MG, Magni P (2012) Characterization of an inducible promoter in different DNA copy number conditions. BMC Bioinformatics, 13(Suppl 4): S11. Link
  13. Pasotti L, Quattrocelli M, Galli D, De Angelis MG, Magni P (2011) Multiplexing and demultiplexing logic functions for computing signal processing tasks in synthetic biology. Biotechnology Journal, 6(7):784-95. Link
  14. Pasotti L, Zucca S, Lupotto M, Cusella De Angelis MG, Magni P (2011) Characterization of a synthetic bacterial self-destruction device for programmed cell death and for recombinant proteins release. Journal of Biological Engineering, 5:8. Link

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