Noself better than self
Our axiom: the structure and dynamics of complex systems are emergent properties of feedback mechanisms between simple processes.
A system dynamics model of vegetation biodiversity patterns produced the discovery of the inhibitory effect of extracellular self-DNA.
Such breakthrough finding opened new perspectives for biological control without chemicals in agriculture and innovative approach in pharma research.
About
HISTORY
2010 Discovery of self-DNA toxicity
2012 NOSELF srl constitution – Italian patent
2013 PCT patent
2014 Start of partnership with Koppert Biological Systems
2015 Scientific publications New Phytologist, Phytochemistry Reviews
2016 R&D Agri Pharma
2018 AND Biopharma constitution
2022 Noself AND constitution
Team
FOUNDING TEAM
RESEARCH TEAM
Biological and ecological modelling
Stefano Mazzoleni
Francesco Giannino
Fabrizio Cartenì
Christian Vincenot
Max Rietkerk
Plant pathology & ecology
Giuliano Bonanomi
Antonio Mingo
Mauro Senatore
Data analysis
Guido Incerti
Antonello Migliozzi
Organic chemistry
Virginia Lanzotti
Molecular biology
Maria Luisa Chiusano
Pasquale Termolino
Microbiology
Elisabetta de Alteriis
ADMINISTRATIVE BOARD
Antonio Cafiero (CEO)
Umberto De Gregorio (CFO)
Salvatore Mennella
ADVISORY GROUP
Renato Mazzoleni
Luigi Polizzi
Marcello Diano
Marco Conedera
Brunella Liquori
Sergio De Marco
SCIENTIFIC BOARD
Boris Pezzatti
Mark Mulligan
Francisco Castro Rego
Duncan Heathfield
Antonio Risitano
Carlo Ricotta
What we do
Our story started investigating the role of negative feedback in regulating plant coexistence and biodiversity, but then we became expert in all sort of system dynamics models.
We develop mathematical models of biological and ecological systems at different scales and spatial representation and we perform multivariate data analysis to understand the mechanisms behind complexity.
Our models are process-based and modular in their structure. We use different modeling approaches (System Dynamics, Individual-Based) by various mathematical operators (ODE, PDE, logic functions), written in different languages and tools (system dynamic, Matlab, C + +). They can be also coupled with GIS tools, integrated into DSS, and connected with any sensor by IoT methodologies.
The models can drive the experimental work and optimize production processes.
Collaborations
News
2018 https://tporganics.eu/biocontrol-dna-self-inhibition-instruction-for-life-control-of-populations/
2019 One Health Conference, Bogor
Publications
Self-DNA inhibition
2014 https://link.springer.com/article/10.1007/s11101-014-9386-9
2014 https://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.13121
2015 https://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.13306
2016 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883922/
2020 https://doi.org./10.3389/fpls.2020.589837
2021 https://www.mdpi.com/2223-7747/10/8/1744
2022 https://www.mdpi.com/2079-7737/11/2/262
2022 https://www.mdpi.com/2223-7747/11/11/1436
2022 https://doi.org/10.3390/plants11162164
Modelling
MAZZOLENI, Stefano, et al. Modelling the effects of litter decomposition on tree diversity patterns. Ecological modelling, 2010, 221.23: 2784-2792.
INCERTI, Guido, et al. OMDY: a new model of organic matter decomposition based on biomolecular content as assessed by 13C-CPMAS-NMR. Plant and Soil, 2017, 411.1: 377-394.
VINCENOT, Christian Ernest, et al. Theoretical considerations on the combined use of system dynamics and individual-based modeling in ecology. Ecological Modelling, 2011, 222.1: 210-218.Crabtree warburg
MAZZOLENI, Stefano, et al. A novel process-based model of microbial growth: self-inhibition in Saccharomyces cerevisiae aerobic fed-batch cultures. Microbial Cell Factories, 2015, 14.1: 109.
CARTENI, Fabrizio, et al. A general process-based model for describing the metabolic shift in microbial cell cultures. Frontiers in Microbiology, 2020, 11: 521368.
MAZZOLENI, Stefano; REGO, FRANCISCO; GIANNINO, Francesco. Ecosystem Modelling: Vegetation. Environmental modelling: finding simplicity in complexity, 2004, 171.
CASTRO REGO, Francisco, et al. On wind and fire: Revisiting the classics. Silva Lusitana, 2025, 33.2: 85-101.
Contact
No Self srl
Via M. Schipa, 77 80122 Napoli Italy
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