SGROI, GIUSEPPE
SGROI, GIUSEPPE
MATEMATICA E INFORMATICA
2DIs: a SBML compliant web platform for the design and modeling of immune system interactions
2017-01-01 Pennisi, M; Russo, G; Sgroi, G; Parasiliti, G; Pappalardo, F
A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets
2019-01-01 Parasiliti, Giuseppe; Pennisi, Marzio; Biondi, Pietro; Sgroi, Giuseppe; Russo, Giulia; Napoli, Christian; Pappalardo, Francesco
A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates
2019-01-01 Palumbo, Giuseppe Alessandro Parasiliti; Biondi, Pietro; Sgroi, Giuseppe; Pennisi, Marzio; Russo, Giulia; Pappalardo, Francesco
A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant
file da validare2021-01-01 Salvatore, V. D.; Maleki, A.; Russo, G.; Sgroi, G.; Palumbo, G. A. P.; Pappalardo, F.
A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets
2022-01-01 Russo, Giulia; Di Salvatore, Valentina; Sgroi, Giuseppe; Parasiliti Palumbo, Giuseppe Alessandro; Reche, Pedro A; Pappalardo, Francesco
Agent based modeling of relapsing multiple sclerosis: A possible approach to predict treatment outcome
2018-01-01 Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Sgroi, Giuseppe; Scuderi, Alessandro Giuseppe; Palumbo, Parasiliti; Motta, Santo; Maimone, Davide; Chiacchio, Ferdinando
An agent based modeling approach for the analysis of tuberculosis - Immune system dynamics
file da validare2018-01-01 Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Sgroi, Giuseppe; Alessandro, Giuseppe; Palumbo, Parasiliti; Motta, Santo; Fichera, Epifanio
EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation
2019-01-01 Candido, S; PARASILITI PALUMBO, GIUSEPPE ALESSANDRO; Pennisi, M; Russo, G; Sgroi, G; DI SALVATORE, Valentina; Libra, M; Pappalardo, F
In silico evaluation of daclizumab and vitamin D effects in multiple sclerosis using agent based models
file da validare2020-01-01 Pennisi, M.; Russo, G.; Sgroi, G.; Palumbo, G. A. P.; Pappalardo, F.
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB
2020-01-01 Russo, G.; Sgroi, G.; Parasiliti Palumbo, G. A.; Pennisi, M.; Juarez, M. A.; Cardona, P. -J.; Motta, S.; Walker, K. B.; Fichera, E.; Viceconti, M.; Pappalardo, F.
Mycobacterium tuberculosis - immune system dynamics through agent-based modeling methodology: an important step in accelerating vaccine discovery
2022-02-17 Sgroi, Giuseppe
PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19
file da validare2021-01-01 Sgroi, G.; Parasiliti Palumbo, G. A.; Di Salvatore, V.; Russo, G.; Pappalardo, F.
PETAL: A Python tool for deep analysis of biological pathways
2020-01-01 Sgroi, G.; Russo, G.; Pappalardo, F.
Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS)
2019-01-01 Pennisi, Marzio; Russo, Giulia; Sgroi, Giuseppe; Bonaccorso, Angela; Parasiliti Palumbo, Giuseppe Alessandro; Fichera, Epifanio; Mitra, Dipendra Kumar; Walker, Kenneth B; Cardona, Pere-Joan; Amat, Merce; Viceconti, Marco; Pappalardo, Francesco
The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis
2020-01-01 Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Parasiliti Palumbo, Giuseppe Alessandro; Sgroi, Giuseppe; Motta, Santo; Maimone, Davide
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 2DIs: a SBML compliant web platform for the design and modeling of immune system interactions | 1-gen-2017 | Pennisi, M; Russo, G; Sgroi, G; Parasiliti, G; Pappalardo, F | |
| A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets | 1-gen-2019 | Parasiliti, Giuseppe; Pennisi, Marzio; Biondi, Pietro; Sgroi, Giuseppe; Russo, Giulia; Napoli, Christian; Pappalardo, Francesco | |
| A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates | 1-gen-2019 | Palumbo, Giuseppe Alessandro Parasiliti; Biondi, Pietro; Sgroi, Giuseppe; Pennisi, Marzio; Russo, Giulia; Pappalardo, Francesco | |
| A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant | 1-gen-2021 | Salvatore, V. D.; Maleki, A.; Russo, G.; Sgroi, G.; Palumbo, G. A. P.; Pappalardo, F. | file da validare |
| A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets | 1-gen-2022 | Russo, Giulia; Di Salvatore, Valentina; Sgroi, Giuseppe; Parasiliti Palumbo, Giuseppe Alessandro; Reche, Pedro A; Pappalardo, Francesco | |
| Agent based modeling of relapsing multiple sclerosis: A possible approach to predict treatment outcome | 1-gen-2018 | Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Sgroi, Giuseppe; Scuderi, Alessandro Giuseppe; Palumbo, Parasiliti; Motta, Santo; Maimone, Davide; Chiacchio, Ferdinando | |
| An agent based modeling approach for the analysis of tuberculosis - Immune system dynamics | 1-gen-2018 | Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Sgroi, Giuseppe; Alessandro, Giuseppe; Palumbo, Parasiliti; Motta, Santo; Fichera, Epifanio | file da validare |
| EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation | 1-gen-2019 | Candido, S; PARASILITI PALUMBO, GIUSEPPE ALESSANDRO; Pennisi, M; Russo, G; Sgroi, G; DI SALVATORE, Valentina; Libra, M; Pappalardo, F | |
| In silico evaluation of daclizumab and vitamin D effects in multiple sclerosis using agent based models | 1-gen-2020 | Pennisi, M.; Russo, G.; Sgroi, G.; Palumbo, G. A. P.; Pappalardo, F. | file da validare |
| Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB | 1-gen-2020 | Russo, G.; Sgroi, G.; Parasiliti Palumbo, G. A.; Pennisi, M.; Juarez, M. A.; Cardona, P. -J.; Motta, S.; Walker, K. B.; Fichera, E.; Viceconti, M.; Pappalardo, F. | |
| Mycobacterium tuberculosis - immune system dynamics through agent-based modeling methodology: an important step in accelerating vaccine discovery | 17-feb-2022 | Sgroi, Giuseppe | |
| PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19 | 1-gen-2021 | Sgroi, G.; Parasiliti Palumbo, G. A.; Di Salvatore, V.; Russo, G.; Pappalardo, F. | file da validare |
| PETAL: A Python tool for deep analysis of biological pathways | 1-gen-2020 | Sgroi, G.; Russo, G.; Pappalardo, F. | |
| Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS) | 1-gen-2019 | Pennisi, Marzio; Russo, Giulia; Sgroi, Giuseppe; Bonaccorso, Angela; Parasiliti Palumbo, Giuseppe Alessandro; Fichera, Epifanio; Mitra, Dipendra Kumar; Walker, Kenneth B; Cardona, Pere-Joan; Amat, Merce; Viceconti, Marco; Pappalardo, Francesco | |
| The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis | 1-gen-2020 | Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Parasiliti Palumbo, Giuseppe Alessandro; Sgroi, Giuseppe; Motta, Santo; Maimone, Davide |