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Akademický článek

Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB

Autor: Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Miguel A. Juarez, Pere-Joan Cardona, Santo Motta, Kenneth B. Walker, Epifanio Fichera, Marco Viceconti, Francesco Pappalardo

Publikováno v: BMC Bioinformatics, Vol 21, Iss S17, Pp 1-13 (2020)

Abstract Background In 2018, about 10 million people were found infected by tuberculosis, with approximately 1.2 million deaths worldwide. Despite these numbers have been relatively stable in recent years, tuberculosis is still considered one of the

Externí odkaz: https://doaj.org/article/093741296215474ba5009d10a0501eaf

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Akademický článek

In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform

Autor: Giulia Russo, Marzio Pennisi, Epifanio Fichera, Santo Motta, Giuseppina Raciti, Marco Viceconti, Francesco Pappalardo

Publikováno v: BMC Bioinformatics, Vol 21, Iss S17, Pp 1-16 (2020)

Abstract Background SARS-CoV-2 is a severe respiratory infection that infects humans. Its outburst entitled it as a pandemic emergence. To get a grip on this outbreak, specific preventive and therapeutic interventions are urgently needed. It must be

Externí odkaz: https://doaj.org/article/26e6062d1ad042ababed6e27f48c652d

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Akademický článek

The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis

Autor: Francesco Pappalardo, Giulia Russo, Marzio Pennisi, Giuseppe Alessandro Parasiliti Palumbo, Giuseppe Sgroi, Santo Motta, Davide Maimone

Publikováno v: Cells, Vol 9, Iss 3, p 586 (2020)

As of today, 20 disease-modifying drugs (DMDs) have been approved for the treatment of relapsing multiple sclerosis (MS) and, based on their efficacy, they can be grouped into moderate-efficacy DMDs and high-efficacy DMDs. The choice of the drug most

Externí odkaz: https://doaj.org/article/00352cca5cc04e688fd7b444ac18ee6d

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Akademický článek

Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.

Autor: Francesco Pappalardo, Giulia Russo, Saverio Candido, Marzio Pennisi, Salvatore Cavalieri, Santo Motta, James A McCubrey, Ferdinando Nicoletti, Massimo Libra

Publikováno v: PLoS ONE, Vol 11, Iss 3, p e0152104 (2016)

BACKGROUND:Malignant melanoma is an aggressive tumor of the skin and seems to be resistant to current therapeutic approaches. Melanocytic transformation is thought to occur by sequential accumulation of genetic and molecular alterations able to activ

Externí odkaz: https://doaj.org/article/be399df6fffe4d2f87c7277baad11fad

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Akademický článek

SimB16: modeling induced immune system response against B16-melanoma.

Autor: Francesco Pappalardo, Ivan Martinez Forero, Marzio Pennisi, Asis Palazon, Ignacio Melero, Santo Motta

Publikováno v: PLoS ONE, Vol 6, Iss 10, p e26523 (2011)

Immunological therapy of progressive tumors requires not only activation and expansion of tumor specific cytotoxic T lymphocytes (CTLs), but also an efficient effector phase including migration of CTLs in the tumor tissue followed by conjugation and

Externí odkaz: https://doaj.org/article/1cc977782e5347ee8c760894d4108c8e

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Akademický článek

The CRF-method for semiconductors' intravalley collision kernels: II – The 3D case

Autor: Claudio Barone, Santo Motta

Publikováno v: Le Matematiche, Vol 48, Iss 1, Pp 109-122 (1993)

If the collisions are redefined as a flux a kinetic conservation law can be written in divergence form. This can be handled numerically, in the framework of Finite Particle Approximation, using the CRF-method. In this paper we use the CRF-method for

Externí odkaz: https://doaj.org/article/0ec8788b4eb749da83af6363f9550c5f

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