Publications on Modeling and ICT
Pescarmona GP Publications

Author: Gianpiero Pescarmona
Date: 15/04/2015

Description

2013

Human protein cluster analysis using amino acid frequencies
Vernone A, Berchialla P, Pescarmona G.
PLoS One. 2013 Apr 4;8(4):e60220. doi: 10.1371/journal.pone.0060220.

Circadian locomoter output cycles protein kaput and NAD-dependent protein deacetylase sirtuin-1 amino acids relative frequencies.
The graph compare the relative frequencies of the Circadian locomoter output cycles protein kaput (CLOCK gene) and NAD-dependent protein deacetylase sirtuin-1 (SIRT1) highlighting the different level of glutamate and glutamine. CLOCK means high glutamine and bases synthesis and switch on DNA synthesis. SIRT1 means low glutamine and high glutamate and acetylCoA and switch off DNA synthesis.

2012

Retractions: trends, implications, and possible further steps.
Giglia E, Pescarmona GP.
Eur J Phys Rehabil Med. 2012 Jun;48(2):339-43. Review. No abstract available.
PMID: 22614895

2009

Targeted knowledge:interaction and rich user experience towards a scholarly communication that “lets”
Pescarmona GP, Giglia E
ELPUB 2009, Milan, 10 – 12 June 2009
[[Local Fulltext]

The Pinball Machine and the Cloud:Using Rules to move from Information to Knowledge
Pescarmona GP, Zamuner F, Giglia E
Third Italian IA Summit, Forlì, 20-21 february 2009
[[Local Fulltext]

2008

2007

The Evolutionary Advantage of Being Conservative: The Role of Hysteresis. Pescarmona GP
In: DELSANTO, PIER PAOLO. Universality of Nonclassical Nonlinearity Applications to Non-Destructive Evaluations and Ultrasonics. p. 101-118, New York: Springer, ISBN/ISSN: 978-0-387-33860-6
[Fulltext]

2005

Analysis and Prototyping of Biological Systems: the Abstract Biological Process Model.
DI LEVA A, BERCHI R, PESCARMONA GP, SONNESSA M (2005).
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY, vol. 2; p. 216-224, ISSN: 1305-2403
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Analysis and Prototyping of Biological Systems.
DI LEVA A, BERCHI R, PESCARMONA GP, SONNESSA M (2005).
ENFORMATIKA, vol. 10; p. 1-6, ISSN: 1305-5313
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2004

2003

2002

The life context: cells, nutrients and signals.
Pescarmona GP. In: CONDAT CA., BARUZZI A. Recent Research Development in Biophysical Chemistry. (pp. 69-90). TRIVANDRUM: RESEARCH SIGNPOST (INDIA) 2002
[Fulltext]

2001

Local interaction simulation approach for the response of the vascular system to metabolic changes of cell behavior
Scalerandi, M., Pescarmona, G.P., Delsanto, P.P., Capogrosso Sansone, B. 2001
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 63 (1 II), pp. 1-9
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2000

Analysis of a "phase transition" from tumor growth to latency
Delsanto, P.P., Romano, A., Scalerandi, M., Pescarmona, G.P. 2000
Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics 62 (2 B), pp. 2547-2554
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A physical-based model for the simulation of neoplastic growth and metastasis
Magnano, M., Bongioannini, G., Lerda, W., Galvagno, M.B., Tondolo, E., Canale, G., Capogrosso, B., , Pescarmona, G.P. 2000
Journal of Surgical Oncology 74 (2), pp. 122-129
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1999

Non-linear model of cancer growth and metastasis: A limiting nutrient as a major determinant of tumor shape and diffusion
Pescarmona, G.P., Scalerandi, M., Delsanto, P.P., Condat, C.A. 1999
Medical Hypotheses 53 (6), pp. 497-503 10
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Nutrient competition as a determinant for cancer growth
Scalerandi, M., Romano, A., Pescarmona, G.P., Delsanto, P.P., Condat, C.A. 1999 Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics 59 (2 PART B), pp. 2206-2217
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1998

Model for diffusion and competition in cancer growth and metastasis
Pescarmona, G.P., Scalerandi, M., Delsanto, P.P., Condat, C.A. 1998
Materials Research Society Symposium - Proceedings 489, pp. 217-232
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Movement of vesicles in eucariotic cells. Role of intravesicle protons as a fuel and modulation of their concentration by drugs or metabolic changes
Materials Research Society Symposium - Proceedings 489, pp. 205-210
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Comments
2015-04-20T14:16:13 - Gianpiero Pescarmona

Effects of anatomical constraints on tumor growth, 2001
Fulltext

ABSTRACT
Competition for available nutrients and the presence of anatomical barriers are major determinants of tumor growth in vivo. We extend a model recently proposed to simulate the growth of neoplasms in real tissues to include geometrical constraints mimicking pressure effects on the tumor surface induced by the presence of rigid or semirigid structures. Different tissues have different diffusivities for nutrients and cells. Despite the simplicity of the approach, based on a few inherently local mechanisms, the numerical results agree qualitatively with clinical data (computed tomography scans of neoplasms) for the larynx and the oral cavity.

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